Virtual Event
A course exploring data science, AI, and life sciences to drive innovation and discovery
Events, seminars and symposia
Bringing life science professionals together and furthering skills in the scientific community are in SciLifeLab’s DNA. Our many events spanning a wide range of topics, present opportunities to develop your know-how and share your own experiences and network – sparking new ideas, as well as new collaborations. All events are free and open to everyone (unless otherwise stated), and we warmly welcome participants from industry, academia, healthcare, and beyond.
To support lifelong learning, the SciLifeLab Training Hub offers a vibrant community where instructors and learners come together to gain new skills and grow through shared knowledge. Explore all our courses, training, and educational offerings at training.scilifelab.se.
35 events found.
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
1 event,
2 events,
This course covers lectures and practical demonstrations in SEM and TEM techniques. The contents include principles of electron microscopy, specimen preparation, cryo-electron microscopy and correlative light-electron microscopy. The main focus will be on imaging biological samples, but the course may also be suitable for material scientists interested in high-resolution electron microscopy. Application deadline:10 September 2024 […]
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
2 events,
The Advanced Light Microscopy Facility, ALM, at Scilifelab gives a two-week PhD-level course on four new imaging and fluorescence spectroscopy techniques: Depletion-based Super-Resolution Imaging MINFLUX Light-Sheet Imaging FCS-Methods Lecturers: Steven Edwards Erdinc Sezgin Ana Agostinho Francesca Pennacchietti Hans Blom Stefan Wennmalm Dates: Monday October 14th – Friday October 25th 2024 Credits: 3 hp for PhD […]
The aim of this workshop is to provide an integrated view of data-driven analysis of biological data through machine learning, graph and network analysis as well as constraint-based modeling integration methods.
0 events,
0 events,
1 event,
The course is addressed to individuals with little or no experience in programming but who are enthusiastic about learning how to use R for data analysis and streamline their work.
0 events,
0 events,