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strong motivation to work in a multidisciplinary team; Experience with quantum mechanical software packages (VASP, CP2K, …), machine learning potentials (SchNet, NequIP, MACE), and coding (Python, C
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, classification, and topic modeling). You are comfortable with programming and analysis in R, including tidyverse, reticulate, tidymodels, etc. You are comfortable programming in Python and working with relevant
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Programming skills in Python Experience with Machine learning (PyTorch/Keras). A computational mindset and a strong interest in computational biology We offer A versatile and challenging job with
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publications. You have experience in the computational analysis of single cell and/or transcriptomics data using R/Python. Wet lab experience is beneficial but not essential. You have a strong enthusiasm for