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of thermochemical processes, focusing on the multiscale conversion of solid fuels (biomass, etc.), reactor process modelling, pollutant behaviour, and the development of chemical looping gasification (CLG). Research
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://www.sheffield.ac.uk/postgraduate/phd. Further Information on the Particle Physics group in Sheffield and our projects can be found here: https://www.sheffield.ac.uk/mps/research/physics/particle Funding Notes
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Brain Decoding Models across Subjects School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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17 Mar 2026 Job Information Organisation/Company Université de Haute-Alsace Department IRIMAS Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 2 days ago
, which remains insufficiently understood at both physiological and molecular scales. This PhD project aims to identify the biological mechanisms underlying apple tree resilience to climate change through
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LES resolved wake dynamics and the coupling to aero-elastic models and wind turbine control. You will be a member of the Fluid and Offshore Mechanics section, which has a strong track record in offshore
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. The proposed PhD thesis aims to elucidate the sources and processes controlling the fate of Sb and Tl in a mining watershed, combining field studies and laboratory experiments. The research questions addressed
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, implementing, and applying robust and high performance applications for biomedical research. You will have the opportunity to focus on developing new deep learning approaches and foundation models for multi
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Description The University of Wuppertal (Germany) invites applications for a PhD position (Research Assistant) in the group of Prof. Peter Zaspel, starting March 1, 2026. The position is part of
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protein structural insight with hands‑on ML development: adapting and applying state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational