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DTSTART;TZID=Europe/Stockholm:20230404T080000
DTEND;TZID=Europe/Stockholm:20230509T170000
DTSTAMP:20260408T111851
CREATED:20230307T080222Z
LAST-MODIFIED:20230307T091417Z
UID:10000828-1680595200-1683651600@www.scilifelab.se
SUMMARY:Digital image analysis for scientific applications
DESCRIPTION:Language of instruction: EnglishCourse period: 2023-04-11– 2023-05-09Course structure: The course will be hybrid on site and via zoom to facilitate remote participation. For computer exercises we encourage on-site participation for best possible support\, but will do our best to also support those participating remotely. \n\n\n\nRECOMMENDED PREREQUISITES\n\n\n\nThe target group is PhD students from all subjects where digital image analysis (IA)  is used as a research tool. No previous experience in IA is required from the course participants\, but an interest in its potential as a tool in their own research is important. The course can be followed with a basic knowledge of mathematics (corresponding to upper‐ secondary level entry requirements) and basic computer skills. \n\n\n\nLEARNING OUTCOMES\n\n\n\n\nexplain fundamental notions of IA\, such as digitization\, image enhancement\, segmentation\, and feature extraction and classification;\n\n\n\ncritically evaluate several different methods for image segmentation\, compression\, distance computation\, frequency analysis\, etc.\n\n\n\nuse software to apply and evaluate algorithms for solving image analysis problems;\n\n\n\nanalyze and plan the steps necessary to solve a realistic image analysis problem;\n\n\n\ngive examples of applications in research and industry where image analysis is used.\n\n\n\n\nLEARNING OUTCOMES FOR DOCTORAL DEGREE \n\n\n\nThe course participants will practice their ability to perform scientific analyses\, find and test appropriate IA methods\, and present and discuss their scientific results. \n\n\n\nCOURSE CONTENTS\n\n\n\nThe focus of the course is on reaching a broad understanding of IA and a basic understanding of the theory and algorithms behind the IA methods. The course starts with basic IA methods and computer exercises\, including IA research methodology and IA research ethics. Modern techniques based on Artificial Intelligence will also be discussed in relation to the classical approaches.  \n\n\n\nINSTRUCTION\n\n\n\nThe pedagogical approach will combine traditional lectures\, examples of real life applications and hands-on exercises. We also use a flipped classroom approach based on our pre-recorded course material which enables participants to prepare for discussions and exercises. \n\n\n\nASSESSMENT\n\n\n\nThe examination will be divided into two parts: \n\n\n\n\ncompleted four computer exercises\, which enable the course participants to both get familiar with the interfaces of common software and to solve realistic image processing problems\,\n\n\n\na written exam\n\n\n\n\nCompleted exercises and passing written exam gives 5hp.  \n\n\n\nCOURSE EXAMINER\n\n\n\nCarolina Wählby\, carolina.wahlby@it.uu.se together with other seniors involved in the BioImage Informatics Unit of SciLifeLab (https://www.scilifelab.se/units/bioimage-informatics/)\, the Image analysis node of the National Microscopy Infrastructure (http://www.nmisweden.se/)\, and the Centre for Image Analysis (https://www.cb.uu.se/) hosted at the Dept. of Information Technology. \n\n\n\nDEPARTMENT WITH MAIN RESPONSIBILITY\n\n\n\nDept. of Information Technology \n\n\n\nCONTACT PERSON/S \n\n\n\nCarolina Wählby\, carolina.wahlby@it.uu.se \n\n\n\nAPPLICATION\n\n\n\nSubmit the application for admission to: carolina.wahlby@it.uu.seSubmit the application not later than: March 25\, 2023
URL:https://www.scilifelab.se/event/digital-image-analysis-for-scientific-applications/
LOCATION:Uppsala University\, Uppsala\, Sweden
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2023/03/Course.jpg
ORGANIZER;CN="Bioimage Informatics Unit":MAILTO:biif@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230417T090000
DTEND;TZID=Europe/Stockholm:20230419T170000
DTSTAMP:20260408T111851
CREATED:20230223T124619Z
LAST-MODIFIED:20230223T125220Z
UID:10000819-1681722000-1681923600@www.scilifelab.se
SUMMARY:Workshop on Data Visualization in R - Lund
DESCRIPTION:A national course open for PhD students (prioritized)\, postdocs\, researchers and other employees within Swedish universities who are interested in learning to produce publication quality plots using different packages in R. \n\n\n\n \n\n\n\nResponsible teachers: Lokeshwaran Manoharan\, Markus Ringner\, Juliana Assis   \n\n\n\nContact information: edu.plotting.r@nbis.se \n\n\n\n\n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: February 23\, 2023 \n\n\n\nApplication deadline: March 31\, 2023 \n\n\n\nConfirmation to accepted participants: April 3\, 2023 \n\n\n\n\n\n\n\nCourse fee\n\n\n\nThe fee for this on-site workshop is 2000 SEK to be paid by invoice to NBIS. Please note that NBIS cannot invoice individuals so we need your institutional invoicing address. The fee covers lunches\, coffee and a course dinner. Those who accept the spot and then do not attend without prior notification will also be invoiced. \n\n\n\nNote that travel and accommodation is not included in the fee and must be arranged by the participants. \n\n\n\n\n\n\n\nCourse description\n\n\n\nThis course aims to help researchers to visualize their data in different ways using R. This course will teach how to produce publication grade figures using R. A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of their data. \n\n\n\n\n\n\n\nCourse content\n\n\n\nIn this course you will learn how to visualize your data in R. \n\n\n\nIn particular\, you will learn how to: \n\n\n\n\nformat the data necessary for ggplot\n\n\n\nmake bar-charts\, box-plots and others using ggplot\n\n\n\nmake PCA plots in ggplot\n\n\n\nuse R packages for heatmaps\n\n\n\nplot data on maps using R (optional)\n\n\n\nplot and handle phylogenetic trees in R (optional)\n\n\n\nmake interactive plots in R using Rshiny\n\n\n\nhost a Rshiny app in one of the available servers\n\n\n\n\n\n\n\n\n\n\n\n\nLearning outcomes\n\n\n\nBy the end of the course the participant will be able to: \n\n\n\n\nhandle data in R for visualizations\n\n\n\napply the grammar efficiently in ggplot to obtain the desired plot\n\n\n\ncombine different data and/or different plots that are of publication-grade\n\n\n\nwrite your own simple Rshiny app\n\n\n\ndeploy Rshiny apps in public servers. \n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete the plotting exercises: \n\n\n\n\nfamiliarity with using R and Rstudio\n\n\n\na computer with R and Rstudio installed\n\n\n\ninstallation of necessary R packages prior to the start of the course\n\n\n\n\n\n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 25 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
URL:https://www.scilifelab.se/event/workshop-on-data-visualization-in-r-lund-3/
LOCATION:Retina D227\, Biologihuset\, Sölvegatan 35\, Lund\, 223 62
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230418T090000
DTEND;TZID=Europe/Stockholm:20230420T170000
DTSTAMP:20260408T111851
CREATED:20230119T131036Z
LAST-MODIFIED:20230314T102233Z
UID:10000791-1681808400-1682010000@www.scilifelab.se
SUMMARY:Introduction to Data Management Practices
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees within all Swedish universities. This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data. \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens:  open now \n\n\n\nApplication closes:  2023-03-28 \n\n\n\nConfirmation to accepted students:  2023-03-17 and 2023-03-31 \n\n\n\nContact: edu.intro-dm@nbis.se \n\n\n\n\n\n\n\n\n\nCourse website\n\n\n\n\n\nApplication\n\n\n\n\n\n\n\nCourse fee\n\n\n\n1500 SEK paid by invoice to NBIS. This includes lunches\, coffee and snacks. Please note that NBIS cannot invoice individuals. \n\n\n\nDue to limited space the course can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\n\n\n\n\nCourse content\n\n\n\nTopics covered will include: \n\n\n\n\nOpen Science and FAIR in practice\n\n\n\nOrganising data\, files and folders in research projects\n\n\n\nDescribing data with metadata\n\n\n\nPublishing data to public data repositories\n\n\n\nCleaning tabular data and metadata with OpenRefine\n\n\n\nWriting basic recipes for data analysis and visualisation with R\n\n\n\nVersioning data\, documents and scripts\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nNo previous programming experience is required but you are required to bring your own laptop with the required software pre-installed. Installation instructions will be provided before the course starts.
URL:https://www.scilifelab.se/event/introduction-to-data-management-practices-4/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230424T090000
DTEND;TZID=Europe/Stockholm:20230428T153000
DTSTAMP:20260408T111851
CREATED:20230223T130931Z
LAST-MODIFIED:20230223T131154Z
UID:10000820-1682326800-1682695800@www.scilifelab.se
SUMMARY:NBIS/ELIXIR-SE Tools for Reproducible Research - ONLINE
DESCRIPTION:NBIS / ELIXIR-SE course is open for PhD students\, postdocs\, group leaders and core facility staff interested in making their computational analysis more reproducible. International applications are welcome\, but we will give approximately half of the participant slots to applicants from Swedish universities at minimum\, due to the national role NBIS plays in Sweden. \n\n\n\nResponsible teachers: Erik Fasterius\, John Sundh \n\n\n\nContact information: edu.trr@nbis.se \n\n\n\n\n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: Feb 27\, 2023 \n\n\n\nApplication deadline: Mar 31\, 2023 \n\n\n\nConfirmation to accepted participants: Apr 7\, 2023 \n\n\n\n\n\n\n\nCourse fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2\,000 SEK.*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nCourse description\n\n\n\nOne of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Published research based on computational analysis\, e.g. bioinformatics or computational biology\, have often suffered from incomplete method descriptions (e.g. list of used software versions); unavailable raw data; and incomplete\, undocumented and/or unavailable code. This essentially prevents any possibility of attempting to reproduce the results of such studies. The term “reproducible research” has been used to describe the idea that a scientific publication based on computational analysis should be distributed along with all the raw data and metadata used in the study\, all the code and/or computational notebooks needed to produce results from the raw data\, and the computational environment or a complete description thereof. \n\n\n\nReproducible research not only leads to proper scientific conduct but also provides other researchers the access to build upon previous work. Most importantly\, the person setting up a reproducible research project will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self! \n\n\n\n\n\n\n\nCourse content\n\n\n\nTopics covered \n\n\n\n\nGood practices for data analysis\n\n\n\nVersion control and collaborative code development\n\n\n\nPackage and environment management\n\n\n\nWorkflow management\n\n\n\nDocumentation and reporting\n\n\n\nContainerized computational environments\n\n\n\n\n\n\n\n\nLearning outcomesBy the end of the course the student will be able to: \n\n\n\n\nOrganize and structure computational projects\n\n\n\nTrack changes and collaborate on code using Git\n\n\n\nInstall packages and manage software environments using Conda\n\n\n\nStructure computational steps into workflows with Snakemake and Nextflow\n\n\n\nCreate automated reports and document their analyses with RMarkdown and Jupyter\n\n\n\nPackage and distribute computational environments using Docker and Singularity\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete computer exercises: \n\n\n\n\nFamiliarity with using the terminal (e.g. be familiar with commands such as ls\, cd\, touch\, mkdir\, pwd\, wget\, man\, etc.)\n\n\n\nA computer with a webcam\n\n\n\nYou will be asked to install the video conferencing software zoom (https://zoom.us/) to be able to participate in the course\n\n\n\nSome knowledge in R and/or python is beneficial but not strictly required\n\n\n\n\n\n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 20 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry.  \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
URL:https://www.scilifelab.se/event/nbis-elixir-se-tools-for-reproducible-research-online-3/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230424T090000
DTEND;TZID=Europe/Stockholm:20230428T170000
DTSTAMP:20260408T111851
CREATED:20230118T132842Z
LAST-MODIFIED:20230118T133136Z
UID:10000790-1682326800-1682701200@www.scilifelab.se
SUMMARY:Introduction to Biostatistics and Machine Learning
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in need of biostatistical and machine learning skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical methods. It would also suit those already applying biostatistical methods but have never got a chance to reflect on and truly grasp the basic statistical concepts\, such as the commonly misinterpreted p-value. \n\n\n\n \n\n\n\nImportant dates\n\n\n\nApplication open: now \n\n\n\nApplication closes: 2023-02-24 \n\n\n\nConfirmation to accepted students:  2023-03-10 \n\n\n\nResponsible teachers:  Olga Dethlefsen\, Eva Freyhult \n\n\n\nIf you do not receive information according to the above dates please contact olga.dethlefsen@nbis.se\, eva.freyhult@nbis.se \n\n\n\n\n\n\n\n\n\nLink to Application\n\n\n\n\n\nCourse website\n\n\n\n\n\n\n\n\n\nCourse fee\n\n\n\nA course fee* of 2000 SEK will be invoiced to accepted participants. The fee includes lunches\, coffee and snacks. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nCourse content\n\n\n\n\nProbability theory\n\n\n\nHypothesis testing and confidence intervals\n\n\n\nResampling\n\n\n\nLinear regression methods\n\n\n\nIntroduction to generalized linear models\n\n\n\nModel evaluation\n\n\n\nUnsupervised learning incl. clustering and dimension reduction methods\n\n\n\nSupervised learning incl. classification\n\n\n\n\n\n\n\n\nEducation\n\n\n\nIn this course we focus on an active learning approach. The course participants are expected to do some pre-course reading and exercises\, corresponding up to 40h studying. The education consists of teaching blocks alternating between lectures\, group discussions\, live coding sessions etc. \n\n\n\n\n\n\n\nEntry requirements\n\n\n\n\nBasic R programming skills (check your skills by taking our self-assessment test)\n\n\n\nBYOL (bring your own laptop) with R and RStudio installed\n\n\n\nNo prior biostatistical knowledge is assumed\, only basic math skills (pre-course studying materials will be available upon course acceptance)\n\n\n\n\n\n\n\n\nThe course can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/introduction-to-biostatistics-and-machine-learning-2/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
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