563 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Oxford
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of blended mechanistic ML models to identify antigens and predict their immunogenicity as vaccines of part of a multi team initiative. You will also be expected to not only employ existing methods already
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. Applications are sought from across the hypersonic discipline (numerical or experimental), providing complementarity to existing activities, within the Oxford hypersonics research group. The successful
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. The research will involve both analytical work and numerical computations. The balance between analytical and numerical type work is flexible and can depend on the preferences and skills of the successful
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partial drainage effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and
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structural methods, designing experiments, testing hypotheses, and analysing multidimensional datasets across crystallography, cryo-EM/cryoET, and biophysical assays. You will contribute to publications
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for five years at which point, upon completion of a successful review, the post-holder will be eligible for reappointment to the retiring age. This post is part of the new strategic research programme Oxford
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research programme CoTide: Co-design to deliver Scalable Tidal Stream Energy. CoTide is developing and demonstrating new solutions and integrated tools and design processes for tidal stream energy that will
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field epidemiology. Your work will involve developing and adapting analytical methods, managing your own research activities, and contributing ideas to the wider research programme. There will also be
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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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notes, and produce well-researched notes. Strong organisational and time management abilities; ability to self-motivate; manage a range of tasks in parallel; and reprioritise effectively in response