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, Mathematical Biology, Biostatistics, Mathematical Epidemiology, Computational Biology, Bioinformatics, P robability Theory, Stochastic Analysis, Mathematical Statistics, Bayesian Statistics are encouraged
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via https://www.mathjobs.org/jobs/list/26674 . Please provide the following required materials: · A cover letter addressing the following o Required qualifications o Preferred qualifications
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for seeking internal and external funding Application Procedure To receive consideration, a complete online application must be received by electronic submission via https://www.mathjobs.org/jobs/list/26674
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Bastian, C. C. (2018). Working memory updating and binding training: Bayesian evidence supporting the absence of transfer. Journal of Experimental Psychology: General, 147(6), 829-858. https://doi.org
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. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and compressed sensing
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factorizations, least-squares problems, descriptive statistics, probability rules, probability distributions, statistical significance, hypothesis testing, estimation, Bayesian paradigm. Benefits:https
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Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering principles and machine
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candidate will show in-depth methodological and applied knowledge in the field of machine learning, especially deep learning, experiences in the area of uncertainty quantification, generative and Bayesian