505 parallel-computing-numerical-methods-"DTU" Postdoctoral positions in United Kingdom
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) programme . This is a fixed term position until March 2026. About STARSand HSMA and the work you will be involved with. STARS is an Open Science project that aims to increase the quantity and quality
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computational sciences, decision-maker education campaigns, and training the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI
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at the intersection of education, mental health, and developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from
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patients with hearing disorders. You will join a collaborative environment where your technical expertise in computer vision will contribute to clinical applications. Our team are now expanding our work
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the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
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and leading journals, and to undergo additional methods training. About You Educated to doctoral level in political science or a cognate discipline, you will be proficient in quantitative research
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understanding of the impact of food- and environment-related toxicants on human health. Innovative mass spectrometric methods are developed and applied to investigate exposure, metabolism, and toxicity. The lab
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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informal event – you can drop in at any time. Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or
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multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental methods, as well as contribute ideas for new research projects. You will use