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Assistant Professor positions beginning August 16, 2027. We seek outstanding candidates with research interests in causal inference, Bayesian computation, statistics, machine learning, or related areas
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sequential experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect heterogeneity statistical
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sequential experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect heterogeneity
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trial design, and sequential experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect
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deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are
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help develop personalised models. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as
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to teach modules such as: Forensic Biology Forensic Genetics Statistics and Databases for Forensic Scientists (Bayesian DNA interpretation and reporting) Interpretation and Presentation of Forensic
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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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) approaches (including CNN and transformer architectures), determination of optimal embeddings and encodings for protein structures, multiple alignment methods, Bayesian dendrogram reconstructions, and
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Materials Design and Innovation Posting Number R260134 Posting Link https://www.ubjobs.buffalo.edu/postings/64174 Employer Research Foundation Position Type RF Professional Job Type Full-Time