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for the position Documented experience using and developing AI tools and models. Hands-on experience with modern AI frameworks such as PyTorch, TensorFlow, or equivalent Strong programming skills in Python and
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documentation-as-code. Ensure all analytical scripts (SQL, R, Python) are versioned, audited, and recoverable. Implement CI/CD principles for analytics to enable reliable, tested, automated deployment of data
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in conducting research activities using established methodologies with minimal supervision. Qualifications: Master's degree in Mechanical Engineering or a related field. Proficiency in C++ and Python
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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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, or Biophysics, with strong quantitative and analytical skills and proficiency in MATLAB and/or Python. Experience with preclinical MRI/fMRI/MRS, rodent models, image processing, functional connectivity, and
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, conferences, and scientific meetings. Proficiency in programming languages such as R and/or Python is required, alongside the ability to independently manage day-to-day research activities, take ownership
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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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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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, 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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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