81 parallel-computing-numerical-methods Fellowship research jobs at University of Nottingham in Uk
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across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct policy relevance. Be part of a project that will influence how buildings
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: - Have experience of using eye-tracking and/or psychophysiological methods (e.g., EEG/fEMG/EDA/heart rate monitoring) to study written language comprehension, including stimuli development, experimental
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Health, Institute of Mental Health) and collaborate closely with the HEATMAP team, including Professor Franziska Schrodt (Earth System Science), Professor Dov Stekel (Computational Biology), Dr Tanya
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Week 36 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project Summary: Research Associate/Research Fellow in Farm Animal
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) Country United Kingdom Application Deadline 3 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Optics and Photonics group
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computational arm of a Leverhulme Trust-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and international collaborators
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm