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Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
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of statistics, computer science and/or machine learning Interest in biology or molecular biology, microbial ecology Proficiency in programming languages such as Python, R and/or C++ as well as Linux systems
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, both spoken and written. You are familiar with common MS Office applications (Word, Excel, PowerPoint). Experience with data analysis in R and/or Python is a plus. You hold a FELASA certificate (animal
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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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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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. 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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. 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
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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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). Proficiency in at least one statistical software package (Stata, R, or Python). Specific Requirements We are seeking outstanding candidates with a strong interest in development economics. Application