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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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skills in English are required. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive
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Number req25611 Department Space 4 Center Department Website Link https://s4.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Space4 Center at the University of Arizona
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, Bayesian methods) to behavioral and neural data. Assist with pharmacological and neuromodulation study protocols. Prepare and submit manuscripts for peer-reviewed publication. Contribute to grant writing and
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optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate
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will combine digital twins based on established process designs and process engineering fundamentals with data-driven optimisation techniques, specifically Bayesian statistics and Bayesian optimisation
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real-world field data. The central research question of this thesis is: How can Extreme Value Theory (EVT) and Bayesian Networks (BN) be coupled to build a predictive and dynamic model of NaTech risk
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; and be central to demonstrating that autonomous materials discovery can produce real improvements in photovoltaic performance and stability. The full job description is available, here: https
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, please submit a CV/resume, a brief cover letter describing your research interests and relevant experience, and contact information for two references on the following application form: https