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2 events found

Target audience: Biophysicists 

  • IAFIG-RMS: Bioimage analysis with Python

    9 - 13 December 2019

    Cambridge, United Kingdom

    Elixir node event
    IAFIG-RMS: Bioimage analysis with Python The aim of this 5 days course is to develop motivated participants toward becoming independent BioImage Analysts in an imaging facility or research role. Participants will be taught theory and algorithms relating to bioimage analysis using Python as the primary coding language. Lectures will focus on image analysis theory and applications. Topics to be covered include: Image Analysis and image processing, Python and Jupyter notebooks, Visualisation, Fiji to Python, Segmentation, Omero and Python, Image Registration, Colocalisation, Time-series analysis, Tracking, Machine Learning, and Applied Machine Learning. The bulk of the practical work will focus on Python and how to code algorithms and handle data using Python. Fiji will be used as a tool to facilitate image analysis. Omero will be described and used for some interactive coding challenges. Research spotlight talks will demonstrate research of instructors/scientists using taught techniques in the wild. This event is organized in collaboration with the [Image Analysis Focused Interest Group]( and is sponsored by the [Royal Microscopical Society]( The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven]( account you will need to book or register your interest by linking [here](;course-title=BioImage%20analysis%20with%20Python).'' 2019-12-09 09:30:00 UTC 2019-12-13 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Cell BiologistsBiophysicistsBioImage Analysts with some experience of basic microscopy image analysisThis course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysisThis course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.The course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<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 CambridgeAffiliated 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> workshops_and_courses [] HDRUK
  • Introductory Linux Tutorial for Life Sciences 4

    10 - 12 December 2019

    Elixir node event
    Introductory Linux Tutorial for Life Sciences 4 NBIS (the Swedish node of ELIXIR) and ELIXIR Slovenia are offering an "Introduction to Linux" course targeted at life scientists who want to extend their skills and knowledge. Big data (usually in the form of large text files) are generated nowadays in many fields of science. Trying to handle this data with applications like Word or Excel is difficult or impossible, while using the Linux command line can improve data processing efficiency. Unix/Linux provides an excellent computing environment for several disciplines (such as bioinformatics, physics, engineering) and the command line interpreter (shell) serves as an interface to many big-data processing programs. The course provides a basic introduction to Unix/Linux commands and covers how Unix/Linux commands can be used to manage and inspect your data and results, and how to generate and run pipelines and workflows using basic shell scripting. Finally, we will show you how the command line is used for access to supercomputers for boosting your scientific research. Participants will be able to attend the course either by traveling to Stockholm or to Umeå in Sweden, to Ljubljana in Slovenia, or by connecting remotely via the ELIXIR Slovenia eLearning Platform (EeLP). The number of remote students is limited to 30. The number of students per classroom is limited to 15 for Stockholm and Umeå, and 20 for Ljubljana. Additional participants will be placed on a waiting list and contacted as soon as space becomes available. The course will be broadcast from Sweden. 2019-12-10 09:00:00 UTC 2019-12-12 17:00:00 UTC ELIXIR Sweden (NBIS) and ELIXIR Slovenia Bioinformatics Computer science NBISUniversity of Ljubljana, Faculty of Medicine [] Life Science ResearchersbioinformaticiansBiophysicistsengineers [] [] life sciences LinuxUnixEeLPeLearningCommand line
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