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university and has been awarded the Platinum EcoAward. Applicants who have applied through the Joint European Postdoc Application via Academic Jobs Online will still need to submit an application via
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bring expertise in computational methods (such as machine learning, chemo-informatics, molecular dynamics simulation, structural biology) and / or experimental methods (such as biophysical analysis
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% super Contribute to groundbreaking research in neuromuscular junctions / Collaborate with leading scientists / Enhance your expertise in proteomics and computational biology Apply now to be part of a
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Deadline 11 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Research group at the University of Birmingham (UK) invites applications for a 3-year postdoc position in theoretical high-energy astrophysics. This position will focus on the modelling of tidal disruption
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the University of Manchester, and will deliver the objectives of an EPSRC research grant entitled “Input-restricted robust feedback control of nonlinear dynamical systems”. The recruited applicant will generalise
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the University of Manchester, and will deliver the objectives of an EPSRC research grant entitled “Input-restricted robust feedback control of nonlinear dynamical systems”. The recruited applicant will generalise
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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United Kingdom Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data