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following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
understanding of maths and physics experience in programming, preferably in Python prior experience in machine learning, computer vision and remote sensing and strong interest to apply these skills
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analysis in Python is advantageous Previous experience with imaging (especially computed tomography) and/or image analysis is advantageous Excellent communication skills in English (oral and written) are a
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment