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2025

Virtual course by EMBL-EBI: Microscopy data analysis: machine learning and the BioImage Archive

This virtual course will show how public bioimaging data resources, centred around the BioImage Archive, enable and enhance machine learning based image analysis. The content will explore a variety of data types including electron and light microscopy and miscellaneous or multi-modal imaging data at the cell and tissue scale. Participants will cover contemporary biological image analysis with an emphasis on machine learning methods, as well as how to access and use images from databases.

Applications close: 19 January 2025

Date: 31 March - 04 April 2025

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EMBL- EBI virtual course: Cancer genomics and transcriptomics

This course will focus on the analysis of data from genomic studies of cancer. It will also highlight the application of transcriptomic analysis and single-cell technologies in cancer. Talks and interactive sessions will give an insight into the bioinformatic concepts required to analyse such data, whilst practical sessions will enable the participants to apply statistical methods to the analysis of cancer genomics data under the guidance of the trainers.

Application deadline: 09.02.2025

Date: 12 - 16 May 2025

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Course in Italy: scRNA-seq Workshop. An introduction to single cell RNA-seq data analysis

The workshop is suitable for life scientists who are new to single cell gene expression technology data analysis. It is open to PhD and Post-Doc research scientists, as well as team leaders and PIs. This course offers a comprehensive introduction to single-cell RNA sequencing (scRNA-seq) data analysis using open-source tools, with a focus on the rCASC package.

Deadline for applications: 20th January 2025

Course date: 10-12 February 2025

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Python for beginners - 11.02.2025

The “Python for Beginners” course introduces Python programming, designed for those with little to no prior experience. Upon completion, students will have a firm grasp of Python fundamentals and be equipped with the skills to start their journey in Python programming.