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on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods
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application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian Computational Mathematics for reliable and trustworthy uncertainty
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, contribute to a better world. We look forward to receiving your application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian
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comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en/thesis-and-internship-topics/bayesian-optimization-alg… Work Location(s) Number of offers available1Company
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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. Developing a new Bayesian, data-driven approach for multidisciplinary geophysical time series analysis to detect anomalies in real time, useful for disaster management managers managing a monitoring network
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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Job Description Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations
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Postdoctoral Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) works at the intersection of AI-driven automation, self-driving laboratories, and scientific discovery, in close collaboration
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radiocarbon dating and Bayesian modelling. The postdoctoral researcher will contribute to an ongoing research project, “Milestone”, headed by Associate Professor Sarah Croix. The appointment begins on 1 April