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excellent study results. You are proficient in at least one programming language (e.g., python, c++, ...) Strong communication skills in English are essential. Knowledge of inverse problems, computational
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(preferred) or Snakemake Practical knowledge of R/Bioconductor and one scripting/programming language (Python or equivalent) is essential. Practical knowledge in using Linux servers is essential - Working
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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programming or scripting skills (e.g., Python, MATLAB, Bash) are a plus Prior experience in amyloid biology, protein aggregation, or disease-related structural research are an advantage. Ability
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collaboration with AI experts. Your Profile PhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, or related fields. Strong programming skills in Python and/or R. Experience
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results in prior studies are a requirement (cum laude – distinction, or higher).•Experience with programming languages (such as R and/or Python) is an asset. •You can conduct independent research
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strong background in shape modelling, deep generative modelling (diffusion/transformers), or multimodal representation learning. You have strong programming skills, especially in Python, and preferably
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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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metabolite analysis You have good skills in the use of R for statistical data analysis and Python programming Any teaching experience or participation in extra training, conferences, etc. is recommended You
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. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM). A pragmatic scientist who combines technical depth with a clear translational, goal‑oriented