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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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related area, coupled with experience of conducting neuroscience research demonstrated by a strong publication record with high-quality outputs. Experience with mathematical programming (e.g., MATLAB, R
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clinical colleagues. Excellent programming skills (MATLAB or Python preferred). Proven track record of publishing research outputs. Apply Before: 05/01/2026, 23:59
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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. If necessary, the applicant selected for the position will be trained in indoor localization. § Good computing skills and proficiency in some programming languages, such as C/C++ and Python, and MATLAB is
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tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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: - Past experience (or academic background) with low, medium, and high-power photovoltaic systems; - Academic background in operations research.; - Knowledge of Python and MATLAB Script programming
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Additional Qualifications Strong confidence with and/or facility to learn Matlab or Python-level programming Strong interest and experience in systems neuroscience, electrophysiology, or primate behavior