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will participate in multiple parallel projects, including performing DFT calculations on heterogeneously catalyzed reactions, kinetic modelling of catalyzed reactions in the gas- and/or liquid phase
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parallel, methods for targeted metabolomics/lipidomics need to be developed and validated for groups of relevant metabolites for specific clinical conditions, to enable discovery of innovative
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, Python programming, high-performance computing, and computational chemistry will be preferred. This position is a full-time, benefits-eligible position. Interested applicants should submit a cover
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products and the bioeconomy in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python
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programming skills, preferably in Python, experience with JAX is a plus; You have experience with simulation-based or quantitative research; You have the ability to work independently and as part of a
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element software (preferably ABAQUS) and you have programming skills (preferably in Matlab, Python or C++); You are a person showing the necessary reliability, autonomy and initiative; Your former
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digital forensics tools and methodologies (e.g. file, memory, network or log analysis) Strong programming and software development skills, with the ability to design and implement research prototypes
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, clinical data, epidemiological data, or other real-world health datasets; strong programming skills, preferably in Python, and practical experience with relevant data-analysis and machine-learning