Upcoming Training
Upcoming training of interest to the life science community
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Content provider
- NBIS54
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Keyword
- bioinformatics31
- CryoEM11
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- 3D EM methods1
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- Omics1
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- Plastic embedding1
- Positron1
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Event type
- Workshops and courses55
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Venue
- Air&Fire, SciLifeLab Stockholm9
- SciLifeLab Uppsala, Navet BMC, Husaregatan 37
- BMC Trippelrummet Husargatan 3, entrance C115
- Online4
- SciLifeLab Solna4
- SciLifeLab Uppsala, Entrance C11, BMC, Husargatan 3, Uppsala4
- UCEM facility (EM-building) and Chemical Biological Centre (KBC) building, Umeå University, Linnaeus väg 64
- KBC Building3
- Department of Oncology-Pathology, Karolinska Institute-SciLifeLab2
- KBC Building, Linneaus Väg 62
- Linköping University Hospital Campus (Campus US)2
- Umeå University, KBC-huset, room KBC-Glasburen2
- Air&Fire, SciLifeLab Stockholm, BMC:Datorsal Hus E Forum Medicum, Lund University1
- BMC - Biomedical Centre, Lund1
- Campus Blåsenhus1
- Cancer Centrum Karolinska (Visionsgatan 56), Campus Solna1
- Evolutionsbiologiskt centrum (EBC)1
- Institut Curie - Université Paris1
- KBC Building, UCEM1
- KBC building, Umeå University, Stora Fokustrummet (KBF 301)1
- Kemigården 4 Chalmers University of Technology1
- Linnérummet E10:1309, Entrance C11, Biomedical Centre (BMC) / SciLifeLab, Uppsala University Husargatan 3, 752 37 Uppsala https://link.mazemap.com/bQ2JnzOW1
- Lund University1
- Lund University, Forum Medicum BMC: E110731
- Lund University, Uppsala University1
- Medicon Village (Scheelevägen 2)1
- Milky Way (Alfa 2), SciLifeLab1
- Online, Linköping University Hospital Campus (Campus US)1
- Room Maskrosen (E121), Ekologihuset, Kontaktvägen 10, University of Lund1
- SciLifeLab Solna, Air&Fire, SciLifeLab Stockholm1
- SciLifeLab Uppsala, Entrance C11, BMC, Husargatan 3, Uppsala, Umeå University, Naturvetarhuset, room NAT.D.370, Lund University, BMC:E110771
- SciLifeLab Uppsala, Entrance C11, BMC, Husargatan 3, Uppsala, Umeå University, Naturvetarhuset, room NAT.D.370, Lund University, Biologihuset, rooms Cerebrum höger (D215b) and Cerebrum vänster (D215a)1
- Umeå University, Naturvetarhuset, room NAT.D.370, SciLifeLab Uppsala, Entrance C11, BMC, Trippelrummet, Lund University, BMC:E11074 Bildningen1
- Umeå University, Naturvetarhuset, room NAT.D.370, SciLifeLab Uppsala, Entrance C11, BMC, Trippelrummet, Lund University, BMC:E11079 Dialogen1
- University of Gothenburg, Campus Medicinareberget1
- University of Lausanne1
- Uppsala University1
- VIB/UGent FSVM II, Technologiepark 751
- Visby Campus1
- Wallenberg Conference Center1
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Country
- Sweden103
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Target audience
- postdocs48
- researchers45
- PhD Students41
- N/A20
- PhD students20
- everyone18
- industry professionals16
- group leaders14
- staff scientists12
- core facility staff10
- non-academic8
- research engineers8
- research support staff8
- healthcare professionals7
- clinicians6
- Postdoc5
- Masters students4
- SciLifeLab Units4
- international4
- Public Health scientists3
- SciLifeLab group leaders3
- University employees3
- data stewards3
- instructors3
- Doctoral students2
- PhD students (prioritized), postdocs, researchers and other employees at all Swedish universities2
- PhD students, postdocs, and researchers at Swedish universities2
- Postdocs2
- managers2
- 201
- All learners that want to learn/do more formal/professional sofware development1
- Anyone with a basic understanding of AI and machine learning.1
- Biomedical students1
- Clinicians and radiologists interested in AI-assisted image analysis1
- Data scientists1
- Data scientists and machine learning engineers working with medical data1
- Developers1
- General practitioners in ML1
- Instructors1
- Managers1
- Master’s and PhD students, researchers, professors in computational sciences, life sciences or AI1
- PhD students and academics interested in AI for healthcare1
- PhD students, postdocs, and researchers1
- PhD students, postdocs, researchers and other employees in all Swedish universities, in need of fundamental Python skills1
- PhD students, postdocs, researchers and other employees within Swedish academia1
- Researchers working in medical imaging, AI, or data science1
- bioinformaticians1
- educators1
- infrastructure managers1
- national1
- natural sciences1
- principal investigators1
- research assistants1
- senior scientists1
- trainer/instructors1
- users1
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Language
- English105
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