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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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experiments. Utilize laboratory techniques that support hypothesis-driven neuroscience research. Analyze and Interpret Data Process, interpret, and visualize scientific data using tools such as R, Python
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-seq Hi-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python
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adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications