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valuable. Experience with population-level modeling approaches, including hierarchical or Bayesian modeling frameworks. Experience conducting research in Southeast Asia or comparable tropical field contexts
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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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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk
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, Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and
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on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device (https
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valuable. Experience with population-level modeling approaches, including hierarchical or Bayesian modeling frameworks. Experience conducting research in Southeast Asia or comparable tropical field contexts
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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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, e.g., by nationality (British Citizen) or 5+ years UK residency etc. Eligibility criteria and further information on the process can be found on the UK Government security vetting website, see https
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project can be found here: https://www.imperial.ac.uk/bio-sustainable-materials/ VALUED is aiming to demonstrate the development of functional materials derived from bio-renewable resources. Several