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: Python (including PyTorch and TensorFlow), Julia (including Flux and CUDA), C++. Preferred Qualifications: Experience in the development and maintenance of scientific computing software suites. Experience
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, knowledge and skills in using advanced statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record
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, biosignals) • Statistical modeling and dimensionality reduction • Python-based scientific computing (NumPy, SciPy, PyTorch/JAX, etc.) Core Research Skills • Privacy and/or sense-of-agency ethical analysis