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Field
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or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data collection, image processing, and statistical analysis
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, - Proficiency in R and/or Python programming languages, - Experience working with large medical-administrative databases would be appreciated (SNDS, PMSI), - Excellent command of scientific English (written and
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Preferred Qualifications: Experience with neurorehabilitation or motor recovery research Proficiency in programming and data analysis tools (e.g., MATLAB, Python, R, SPM, FSL) Familiarity with human subjects
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Science, Chemistry, Chemical Engineering, Electrical Engineering, Computer Science, Physics, or a related field Demonstrated proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow
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with Python, C, and C++ languages, as well as solid experience in model design, tuning, and evaluation. A good understanding of microarchitectures is an asset, as is experience in microarchitecture
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, experience in experiments high energy particle physics or nuclear physics, very good knowledge of c++ and Python programming languages, proficiency with data analysis framework ROOT/PyROOT, knowledge
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languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and fine tuning techniques
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transport models, electrodialysis process models, or models of other desalination processes; programming in Python, MATLAB or other mainstream programming languages Demonstrated ability to publish high
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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biophysics, biology, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant