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different projects in parallel. You can take initiatives, be creative, have a service minded attitude towards collaborative facility work, in order to help infrastructure users and research groups with
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networks, as well as courses in Python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
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. Additional qualifications Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the
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experience with Unix command-line interface (CLI) and Bash coding as well as skills in another programming language such as Python or R for analysis and visualization of single-cell RNA sequencing is a
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quantitative image analysis. Experience programming in Python and Bash and working in HPC environments using workflow managers such as Snakemake or Nextflow. Experience in the analysis of pancreatic islet or
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deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are
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generative models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and