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, diagnostic tracers and/or therapeutics. You will generate and characterise nanobodies using immune and synthetic nanobody libraries as well as AI-generated candidates. The project will involve in vitro and in
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FDA-approved drug library repurposing and fragment-based drug discovery (FBDD) to search for potential modulators. As part of the POLARIS doctoral network, you will develop a functional GPCR assay
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Opens external , FAME or QuEUR. - Time and space for your development in the broadest sense: development days and a personal career budget and free access to our university library
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skills in Python (experience with optimization or scientific computing libraries is a plus); excellent communication skills in English. For this position your command of the English language is expected
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using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch
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, or prior research) Proficiency in programming using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy
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new metalloradical reaction paths, requiring detailed mechanistic studies using spectroscopy, kinetic studies and computational methods. Ligand libraries using bidentate ligands based on supramolecular