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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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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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For this interdisciplinary and field-intensive project, we are looking for a highly motivated and skilled PhD candidate with a recent MSc degree (or equivalent) in biology, ecology, ethology, physics, or engineering, with a
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and a Zynthera representative.•Please note that the entire selection process is managed exclusively by Zynthera. This includes application review, shortlisting, and interview coordination. All
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alternative. 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
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fluids, such as in serum and plasma in order to determine their stability upon administration and characterize the layer of molecules adsorbed on their surface (the biomolecule corona
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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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promise of making significant impacts on patient care and advancing the field of cardiac health. What is offered: The Scholarship includes: A competitive annual bursary for 4 years (£22,780/year) Full
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proposal will be subject to internal review and approval by QUT. For questions about the application process, contact Andrea McCrindle , Centre Research Manager. For questions about the scholarship
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challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and