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DTSTART;TZID=Europe/Stockholm:20240823T080000
DTEND;TZID=Europe/Stockholm:20240823T170000
DTSTAMP:20260407T014526
CREATED:20240823T125432Z
LAST-MODIFIED:20240823T125517Z
UID:10001336-1724400000-1724432400@www.scilifelab.se
SUMMARY:CryoEM sample preparation and data collection course
DESCRIPTION:The purpose of the course is to prepare and train cryoEM facility users in sample preparation methods\, introduce users to the image data acquisition workflow\, expand knowledge about cryoEM methods among researchers and show that everyone can learn how to use cryoEM for structural biology. \n\n\n\nCourse description\n\n\n\nThe course is open for facility users or potential facility users\, such as PhD students\, postdocs\, and researchers within the life sciences who are curious and will profit from cryoEM skills. Swedish and international course participants are welcome. To attend\, the course participants should be familiar with electron microscopy and structural biology. \n\n\n\nThis course is supported by SciLifeLab\, CryoNET and Umeå University and organized by the Umeå Centre for Electron Microscopy (UCEM). \n\n\n\nRead more\n\n\n\n241204-241206_CryoEM_sample_preparation_2024Download\n\n\n\nApplication deadlineApplication should be submitted before November 1st\, 2024 \n\n\n\nCourse organizersSara SandinTanvir Shaikh \n\n\n\nLocationUCEM and Chemical Biological Centre (KBC) BuildingUmeå UniversityLinnaeus väg 6 \n\n\n\nTeachers and course instructors \n\n\n\n\nLinda Sandblad\n\n\n\nSara Sandin\n\n\n\nTanvir Shaikh\n\n\n\nLars-Anders Carlson\n\n\n\nErin Schexnaydre\n\n\n\nJohan Unge\n\n\n\nAdditional teachers t.b.a\n\n\n\n\nCourse content \n\n\n\nThis course will cover practical aspects of cryoEM sample preparation and data acquisition. \n\n\n\nThe following topics will be covered: \n\n\n\n\nOverview of cryoEM methods\n\n\n\nMicroscope design and electron optics\n\n\n\nSample preparation\n\n\n\nData collection for single particle analysis (SPA)\n\n\n\nIntroduction to SPA image processing\n\n\n\n\nThe course consists of lectures\, cryo lab work\, demonstrations and practical exercises for all participants\, hands-on experiences of microscopy operation and discussions. A detailed schedule will be provided to accepted participants. \n\n\n\nCourse literatureHandouts and material online. \n\n\n\nEntry requirements \n\n\n\nPriority will be given to researchers involved in a project where the use of cryo-EM is needed\, which are to be briefly described upon application. \n\n\n\nThe course is suitable for researchers in the life sciences with a master’s or PhD degree\, including graduate students\, postdocs and staff scientists. \n\n\n\nA maximum of 18 participants will be admitted. Please provide a clear description of your research project and motivation for attending the course. \n\n\n\nExamination Participation in all parts of the course\, lectures\, lab\, microscopy demonstrations and evaluation are mandatory. Upon completion\, SciLifeLab and Umeå University will provide a course certificate and a recommendation for 1 ECTS.
URL:https://www.scilifelab.se/event/cryoem-sample-preparation-and-data-collection-course/
LOCATION:KBC Building Umeå\, Linneaus Väg 6\, Umeå
CATEGORIES:Course
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ORGANIZER;CN="SciLifeLab Ume%C3%A5":MAILTO:umea@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240827T120000
DTEND;TZID=Europe/Stockholm:20241001T120000
DTSTAMP:20260407T014526
CREATED:20240615T115304Z
LAST-MODIFIED:20240615T115305Z
UID:10001278-1724760000-1727784000@www.scilifelab.se
SUMMARY:Data-Driven Life Sciences Course 2024 (Online)
DESCRIPTION:Welcome to the Data-driven Life Sciences 2024 course\, where you will explore the intersection of data science\, artificial intelligence\, and life sciences to drive innovation and discovery. This fully online course culminates in an in-person hackathon\, fostering a vibrant community that gathers the DDLS and SciLifeLab members. \n\n\n\nThe 6 modules aim to introduce learners to computer-driven life sciences\, covering application areas in data-driven life sciences. Guest lecturers (DDLS Fellows\, SciLifeLab fellows\, and SciLifeLab facility training providers) will teach topics including technologies and analysis of data sets from proteomics\, transcriptomics\, biomolecular structure\, molecular dynamics simulations\, and various imaging techniques. These modules present\, analyze\, and discuss models of biological phenomena and related scientific breakthroughs based on such data analysis. \n\n\n\nRegistration\n\n\n\nAs prerequisites for the course\, we recommend that you have a look at the following resources: \n\n\n\n\nPlease have a look at the SciLifeLab Data-Driven Life Science (DDLS) initiative website to understand what data-driven life sciences are\, and how Sweden is investing in this area. Focus in particular on the concept of the data life cycle\, which is central in this class.\n\n\n\nWe will use Python as the main programming language in the computer lab\, so please make sure you know the basics of Python. \n\n\n\n\nFor the computer lab\, you will need a computer with internet access\, and make sure you have the following set up: \n\n\n\n\nInstall the latest browser\, e.g. Chrome\n\n\n\nRegister a Google account for the Google Colab access and use the Google Drive\n\n\n\nRegister a ChatGPT account (Note: No need to subscribe to the paid version of ChatGPT\, using the free version is sufficient for this course)\n\n\n\nRegister a Github account for versioning of the code\n\n\n\n\nLearning objectives:  \n\n\n\n\nDescribe the field of data-driven life sciences\n\n\n\nPresent an overview of various application areas\n\n\n\nProvide examples of applications and their associated analysis methods\n\n\n\nApply statistical and machine learning analysis to biological data sets\n\n\n\nFormulate models of biological phenomena\n\n\n\nPresent and review scientific literature in computer-driven life sciences\n\n\n\nReflect on the ethical consequences of data-driven life sciences\n\n\n\nPractice good data management\, including collection\, handling\, sharing\, and analysis\n\n\n\n\nFor questions\, contact the course leader Wei Ouyang at weio@kth.se
URL:https://www.scilifelab.se/event/data-driven-life-sciences-course-2024-online/
LOCATION:Online event via Zoom
CATEGORIES:Course
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240828T100000
DTEND;TZID=Europe/Stockholm:20240828T150000
DTSTAMP:20260407T014526
CREATED:20240419T094002Z
LAST-MODIFIED:20240422T112735Z
UID:10001236-1724839200-1724857200@www.scilifelab.se
SUMMARY:Data Delivery System (DDS) Workshop for Unit Users
DESCRIPTION:We invite current and future users of the Data Delivery System (DDS) from SciLifeLab units to join us for a workshop.  \n\n\n\nWhen: August 28 in Alfa 2 Milky Way\, SciLifeLab Solna.  \n\n\n\nRegister: Register before Aug 23 24.00  \n\n\n\nMax participants:  20 \n\n\n\nThe workshop will include hands-on introductions to registration\, client installation & project access management\, as well as troubleshooting common issues. There will also be a session looking to the future of DDS: future plans and gathering end-user input (e.g. what are the personas amongst your unit’s data recipients?). \n\n\n\nThis workshop is limited to 20 participants and\, we’d love as many SciLifeLab units as possible to be represented\, so would really appreciate you coordinating within your unit to decide who should attend. If there is sufficient demand\, this workshop will run again in the future. \n\n\n\nRegister\n\n\n\nPractical Information\n\n\n\nThe workshop will take place in-person at the SciLifeLab Solna campus. Participants must bring their own laptops for the hands-on component of the day. Lunch will be provided ( if you have dietary restrictions please note this in the registration) \n\n\n\nPreliminary Agenda\n\n\n\n09:30-10:00Fika10:00-10:10Welcome & practical info10:10-10:25Intro to DDS 10:30-12:00Registration\, client installation & project access12:00-13:00Lunch13:00-13:45Project life cycle & support14:00-15:00Future development & user input\n\n\n\nContact information\n\n\n\n\nFor questions contact the Data Delivery System team at SciLifeLab Data Centre. Contact person: Aishling Cooke\n\n\n\nEmail: delivery@scilifelab.se
URL:https://www.scilifelab.se/event/dds-workshop-for-unit-users/
LOCATION:SciLifeLab Campus Solna\, Tomtebodavägen 23 A\, Solna\, Sweden
CATEGORIES:Course
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ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se
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