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. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
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California State University, Northridge | Northridge, California | United States | about 12 hours ago
Hawaiian or Pacific Islander. For more information about the University, visit: http://www.csun.edu About the College: For more information about the Department of Psychology, see: https://www.csun.edu
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” website: https://www.rsm.nl/faculty-research/departments/strategic-management-and-entrepreneurship/phd-in-strategic-management/ Opens external Keywords Entrepreneurship, Innovation, Strategy Renewal
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, including working with multivariate data. Substantial experience in code development and, preferably, experience with Bayesian statistical modelling techniques and software. Willing to develop expert
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this date). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7372-TIMBON-003/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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foundations in classical probability theory and can be seen as a generalization of the Bayesian framework, bringing an additional degree of flexibility to express different types of uncertainty. In machine
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, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work and attendance at international conferences, such as the European Geothermal Congress
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(https://www.hereon.de/index.php.en ) and Institute of Surface Science (https://www.hereon.de/institutes/surface_science/index.php.en ). Collaborators: Uppsala Universitet, Sweden and Quintus
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circuit mechanism underlying higher cognitive functions such as multitasking, rule-based reasoning and Bayesian inference). In addition to the above areas, there is extensive expertise available in
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization