459 associate-professor-computer-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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gammopathy of undetermined significance (MGUS). However, only 1% of patients with MGUS will develop myeloma every year. Despite advances in treatments, myeloma continues to be associated with significant
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Primary supervisor - Prof Niall Broomfield Pregnancy insomnia is a common, intractable and disabling condition which remains poorly understood and treated. It is associated with significant medical
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Social Statistics Sociology Academic requirements You must meet the minimum academic requirements for your preferred programme Nationality restrictions This funding is available to all nationalities
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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role in supporting data-driven, policy-relevant research examining energy markets and a range of associated social and environmental challenges. This role is ideal for candidates planning to apply to top
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: an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Awards for UK, EU, International
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available LMIC-based data, examine the association between physical activity and non-communicable disease morbidity and mortality. Supervisors for this studentship will be Dr Andrew Atkin and Dr Karen Milton
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epidemiological dataset to explore prevalence and patterns in physical activity, as well as the association between physical activity and health outcomes in disabled people. This will be complemented by other study
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through