598 computer-programmer-"https:"-"Brookhaven-Lab" "https:" "https:" "https:" "ISCTE IUL" PhD positions in United Kingdom
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This studentship offers a rare and exciting opportunity to undertake applied research within an elite performance sport setting in partnership with Aquatics GB. Aligned with Aquatics GB’s vision to be at the forefront of supporting female performance, the project will explore how female...
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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Assistant Develop a detailed plan for the biodiversity work package, including specification of the target organism(s), processes and pollutants Develop the methodology for the biodiversity work package of
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, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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air pollution and have been identified as an area for intervention in the latest Government Environmental Improvement Plan (www.gov.uk/government/publications/environmental-improvement-plan-2025
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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, physics, applied mathematics, data science, computer science, food science, microbiology or related fields. Funding This studentship is open to both Home and Overseas fee status students, however we are
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extreme threats to national security. AWE has pioneered advancements in areas including physics, engineering, materials science, and high-performance computing. Together we’ve helped shape the UK’s
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities