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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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. This process operates under ambient conditions, utilises water as a hydrogen source, and is powered by renewable electricity. Recent advances in electrocatalyst design – enabled by operando spectroscopic
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performing tests, possibly in collaboration with clinical partners. Qualifications Applicants should hold a MSc in electronics, computer engineering, Physics, or a closely related field. Required Qualification
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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, with a median survival of less than 15 months despite standard-of-care interventions such as surgery, radiotherapy, and temozolomide (TMZ). Recurrence is nearly universal, driven by intrinsic tumour
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The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors
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study (e.g., occasional weeknight and weekend availability may be necessary). Must have excellent attention to detail, organizational and time management skills, interpersonal and relationship-building
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Arrangements: This is an in-person role based in Durham, requiring physical presence on campus and regular travel to partner schools in the region to support intervention delivery. The part-time hours (10 per
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale