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might require Level 2 Disclosure as the project progresses but the candidate will receive support processing it if required. This post is fixed-term (for 60 months) and full-time (35 hours per week
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Job Purpose To make a leading contribution to a project working with Prof Lee Cronin. (Complex Chemical Systems Group - www.croninlab.com). The researcher will be working in the areas of chemical
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-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
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or condensed matter physics, with a focus in materials modelling using density functional theory. The research projects of the postdoctoral research fellow are thematically linked to the The Finnish Quantum
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, evaporation. 2)Mechanical testing theory and methods for ceramic/glass/thin film materials, such as 2, 3 or 4-point bending, nanoindentation, multiaxial bending (ball-on-three balls, ring-on-ring etc
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potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to September 2026 Closing date: 15th September 2025 Background The School of Computer Science at the University
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potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to February 2030 Closing date: 30th September 2025 UK travel may be required for this role Background To create and
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Job Purpose To make a leading contribution to the EPSRC-funded project “Designing Interaction Freedom with Active Inference (DIFAI)”, working with PI Professor Roderick Murray-Smith and Co-Is Dr
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
and cast parameter/state/fractional‑order learning as an Expectation–Maximization (EM) procedure interpreted through a dynamical‑systems lens (e.g., fixed‑point/stability analysis of the EM iterates
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progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to March 2028 Closing date: 13th August 2025 Background This research project aims to establish the theoretical and algorithmic