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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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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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Appl Deadline: none (posted 2025/10/30 04:00 AM UnitedKingdomTime, updated 2025/10/24) Position Description: Apply Position Description Professor of Practice in Transportation Engineering The School
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investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in
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mechanistic accounts, the Bayesian predictive coding framework has gained increasing prominence. According to this framework, perception of proprioceptive input and voluntary movement is shaped by top-down
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for boosting green and digital innovations”, Project ID 101186592, https://cordis.europa.eu/project/id/101186592 , running between February 2025 and January 2030 and funded by European Research Executive Agency
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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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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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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