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Grant was established by the late Jean Jackson BSc (Melb.) PhD (Malaya) (nee Millis) by her Will on 31 March 2010, and is offered to students undertaking research in the areas of biotechnology
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to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured
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international conferences Prepare scientific publications and project reports Your Profile: Genuine interest in data science and one or more of its application domains: life and medical sciences, earth sciences
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selection criteria Eligibility To be considered for this scholarship, students must be undertaking a Graduate Research program (MPhil or PhD) with a focus on Cancer and Palliative care nursing. Applicants
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 29 days ago
. Build advanced research skills and influence policy to improve youth mental health Application Process To be considered for this PhD, please complete the Collaborative Studentship application form
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relevant. The steps in the development of surrogate models are building data-driven models from medical imaging, extending them with physics-based approaches, and adapting existing physics-integrated neural
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for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics-aware learning methods with domain decomposition techniques, enabling parallel training and
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Satisfy the Faculty's entry requirements for PhD Selection criteria Eligible applicants are selected on the basis of academic merit, the faculty scholarship score, demonstrated skill in the relevant
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 18 days ago
Process To be considered for this PhD, please complete the Collaborative Studentship application form available online via the 'Apply' button above. Applicants will be required to upload an anonymised CV
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular