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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
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, MATLAB, or similar analytical platforms. Create publication-quality figures, summaries, and presentations that communicate research findings effectively. Maintain organized, accurate, and reproducible
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procedures. Experience with data collection and quantitative data analysis. Programming experience in MATLAB and/or Python. Interest in pursuing a future career in scientific research, medicine, or graduate
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microscopy, optogenetics, or in vivo imaging techniques. Experience with electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python
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of postdoctoral training. Preferred Qualifications: Strong background in CT imaging, image reconstruction, or computational imaging. Experience with programming languages such as Python, MATLAB, or C
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. Minimum Requirements: Bachelor’s degree in a quantitative, scientific, or computational discipline, or equivalent experience. Strong proficiency in scientific programming and analysis (e.g., Python, MATLAB