635 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in United Kingdom
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proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
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(R3) Country United Kingdom Application Deadline 2 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. Are you a Computer Scientist looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa
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to make a breakthrough in the application of machine-learning forecasting methods for West African agriculture. The project is led by the UK’s Alan Turing Institute, with partners in Senegal and Ghana, and
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
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capability Fluency in relevant models, techniques or methods and ability to contribute to developing new ones High level of competence in computer programming, with C++ an advantage. Ability to communicate
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, assembling, and testing electronic systems, and have familiarity with the principles and operation of optical imaging methods and technologies. Demonstrable skills in data processing and computer-aided design
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(CMHPE), utilising their mixed methods their mixed-methods (ideally qualitative and quantitative) expertise. The role includes planning, coordinating, executing, and reporting on evaluation and improvement
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refine their design as they progress. We will work closely with co-investigators from the Ifakara Health Institute (Tanzania) to ensure the methods are feasible and implementable in disease-endemic