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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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Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science tools such as Numpy, Pandas
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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 in computational integration of spatial transcriptomics with imaging data or quantitative image analysis. Experience programming in Python and Bash and working in HPC environments using
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following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale omics data analysis. A
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programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English are required. The candidate must clearly document a
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foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Strong written and verbal communication skills in English Proficient in a programming
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qualifications will be assessed: Required: Extensive programming experience in data analytics and artificial intelligence. Particularly meritorious: Expertise in software development, especially in Linux