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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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of software to validate the integrity and durability of a nuclear power plant containment structure, based on a multiphysics-multiscale approach and data to build a digital twin. • Participate in consortium
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Coupling of physics-based and data-driven models, studying when and how to switch between them in real time Integration with ARSPECTRA's software stack, e.g. marker tracking, SLAM, gaze tracking, and