-
massively parallel selection experiments to tackle the fundamental encoding problems of molecular biology. Towards this goal we have developed, benchmarked, and applied at scale experimental methods that use
-
to have Experience with metagenomic data analysis Experience with statistical genetics / quantitative genetics Experience with reproducible research / software environments, e.g. Conda/Mamba, containers
-
required/ Nice to have • Experience with metagenomic data analysis • Experience with statistical genetics / quantitative genetics • Experience with reproducible research / software environments, e.g. Conda
-
super-resolution microscopy with genomic approaches. AI-driven and computational methods are applied to analyze super-resolution imaging data to elucidate, identify, and reconstruct the biological
-
required/ Nice to have You have experience uploading data to the ENA Education and training You hold a Phd in quantitative genetics or a related discipline Languages You are fluent (oral & writing) in
-
required/ Nice to have You have experience uploading data to the ENA Education and training You hold a Phd in quantitative genetics or a related discipline Languages You are fluent (oral & writing) in