Over the past two decades, biology has been transformed by high-throughput technologies that generate vast amounts of data, creating demand for efficient algorithms, parallel computing infrastructures, and sophisticated software. Open-source software is integral to this landscape, hence we're happy to announce the second installment of a Bioinformatics & Computational Biology devroom at FOSDEM.

We are pleased to announce Statistical Methods for Post-Genomic Data, which will take place in Pisa, Italy, starting January 28, 2027. The conference brings together researchers working on statistical, mathematical, and computational methods for the analysis of post-genomic data.

We are researchers based in Poland conducting an international academic study on the use of generative AI in environmental and life sciences research.

We are looking for a motivated PhD student to work at the interface of Artificial Intelligence, Machine Learning, Bioinformatics, and Genomics. The project will investigate the use of Vector Symbolic Architectures (VSA), as a new framework for predicting phenotypes and disease risk directly from genomic sequencing data.