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across molecular, cellular, and tissue scales. Research areas of interest include biological imaging and spectroscopy; statistical and Bayesian inference; machine learning for biological discovery
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directionality and causal inference. This project instead builds on the structure of the central dogma, using genetic variation as an anchor for causal inference across molecular layers (genomics
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Ability to program in Python and develop automated simulation, data-processing, and inverse-identification workflows Familiarity with optimization, Bayesian inference, uncertainty quantification, or
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optimization, Bayesian inference, uncertainty quantification, or machine learning methods applied to engineering problems Ability to analyze and interpret experimental and simulation data, prepare peer
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Link https://www.ubjobs.buffalo.edu/postings/64290 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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Link https://www.ubjobs.buffalo.edu/postings/64290 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of collaborators and strong access to compute through national GPU systems (NAISS, e.g
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computational model fitting, Bayesian inference, simulation, or formal model comparison. Experience designing or analyzing experiments in judgment and decision making, evidence accumulation, or response
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formulating and fitting computational models of cognition using probabilistic programming languages, e.g. Stan, Turing, Tensorflow • Experience with advanced applications of Bayesian inference approaches
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in formulating and fitting computational models of cognition using probabilistic programming languages, e.g. Stan, Turing, Tensorflow Experience with advanced applications of Bayesian inference