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flexible fitting of mechanistic and statistical models to the data. Our current focus is on generating datasets of sufficient size and diversity to train machine learning models to accurately predict how
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-based principles. The successful candidate will train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical
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Competences Curiosity and critical thinking Rigor, organization and autonomy Strong analytical, interpersonal, and communication skills The Offer – Working Conditions Contract duration: Technical and scientific
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cell biology, molecular biology techniques and microscopy You are eager to learn and work in a collaborative research environment Desirable but not required/ Nice to have Previous exposure