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pipelines in MATLAB , Python, R, or similar platforms for electrophysiology processing, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical
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and behavioral studies; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in top
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Matlab, R, Python), experience with probabilistic programming languages (e.g., Stan, Turing, Tensorflow), and high-level expertise with data analysis are mandatory; knowledge of neuroscientific
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companies. Writing well-documented, reproducible code and contributing to open-source Python packages released alongside the methods papers, including close collaboration with the second postdoc on a
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intelligence; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self-motivation
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/artificial intelligence; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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visual perception. Good programming (Python) skills are required along with a good understanding of empirical methods and ways to connect empirical findings with model behavior. The position also
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results by publishing in peer-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package
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results by publishing in peer-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package