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expertise/interest in Bayesian methods for addressing measurement error. Ideally PhD within the last 5 years. Advanced level experience with R, desired knowledge of Nimble, Overleaf. Excellent communication
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Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos, Dr Dimitrios Roxanas Application
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is not recommended to select Autofill with Resume when applying if using a resume or CV which exceeds one (1) page. Prior to submitting your application, please review and update (if necessary
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, including (but not limited to): advanced Bayesian techniques to calibrate and update models In an adaptive setup, where decisions ought to balance active learning with exploitative goals; data-driven model
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Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within
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RFC-8 , via updates to the SpatialData codebase, but also by contributing to the NGFF codebase Engage with the open-source scverse and NGFF communities: triage issues; review PRs; collaborate in public
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subjects related to Mathematics for Economics, specifically in the Bachelor's Degree in Economics (subjects: Mathematics for Economics I, II, III, and IV, and Bayesian Methods). Additionally, the candidate
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" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina
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. This PhD will focus on uncertainty-aware machine learning models, developing and evaluating techniques (e.g., Bayesian and interval neural networks) to quantify model uncertainty and monitor it during
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 2 months ago
dynamics in health and pathology; (2) in silico models, including Bayesian models, neural mass models and spiking neural networks; (3) in vitro neuronal network measurements. Our aim is to innovate in