- Home
- Events
Filters
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- University of Cambridge Bioinformatics Training2
- Show N_FILTERS more
-
-
-
Keyword
- HDRUK2
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses2
- Show N_FILTERS more
-
-
-
Country
- United Kingdom2
- Show N_FILTERS more
-
-
-
Organizer
- University of Cambridge2
- Show N_FILTERS more
-
-
-
Target audience
- view
- Institutions and other external Institutions or individuals14
- Postdocs and Staff members from the University of Cambridge14
- Graduate students13
- Researchers who are applying or planning to apply image analysis in their research4
- Researchers who want to extract quantitative information from microscopy images4
- Anyone wanting to use OMERO to organize2
- Facility Managers wanting to train users2
- annotate and publish imaging data2
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Members of Industry to pay 575.00 GBP. </span style> <span style="color:#0000FF">All Members of the University of Cambridge1
- Affiliated Institutions and other academic participants from External Institutions and Charitable Organizations to pay 250.00 GBP. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- Anybody interested in using Jupyter and OMERO1
- BioImage Analysts with some experience of basic microscopy image analysis1
- Biophysicists1
- Cell Biologists1
- Day1 is intended for biologists and computer scientists interested in using LithoGraphX. Some experience in imaging is desirable but not required.1
- Day2 is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Basic python knowledge and familiar with C++ are required.1
- Facility Managers using or1
- Life scientists with programming skills1
- OMERO for image data management1
- Plant research1
- The course is open to Graduate students1
- This course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.1
- This course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysis1
- bioinformaticians and image analysts.1
- wanting to use1
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events