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Python programming, gaining valuable research experience alongside your studies. You will collaborate with an experienced, interdisciplinary research team and contribute to the development of Abaqus
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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programming skills in Python, with experience in C++, MATLAB, or similar languages desirable. Experience with a deep learning framework such as PyTorch, TensorFlow, or JAX (desirable). Experience with
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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, including intracranial EEG (iEEG/SEEG), local field potentials (LFPs) and single-unit recordings. The position has a strong focus on scientific software development in Python, data engineering and signal
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data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in machine learning, deep learning, foundation models/LLM. Excellent quantitative and analytical skills. Strong written
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in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. Job Duties Learns to formulate machine learning problems. Learns to implement machine
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, specify and implement endpoints and backend functions (e.g., with Python/Django) to connect semantic search engines and RAG with the service platform. Perform functional testing, verification and support
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, particularly in areas such as machine learning theory, probability theory, optimization, and linear algebra. Experience with random matrix theory is a plus. Programming experience in Python. Familiarity with
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Office, Latex, Adobe Illustrator, AutoCAD • Previous experience on programming (Python, C, LabVIEW, etc) and scientific (Mathematica, Matlab, Origin, etc) or simulation (COMSOL, etc) software will be