501 parallel-computing-numerical-methods Postdoctoral research jobs in United Kingdom
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into practical methods for smarter testing and control. You’ll need to have expertise in modelling and simulation of dynamic systems, strong programming skills, and the ability to communicate your research clearly
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the field of atomic. molecular and optical physics within the Durham Quantum Light and Matter group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with
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, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in statistical mechanics method development, with
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undergraduate and postgraduate programmes in Sociology, Criminology and Social Work. Further, we support the delivery of a faculty research methods programme as part of the collaborative NINEDTP and contribute
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will work at numerous sites across the UK, including in East Anglia, Somerset, and Lancashire. The position will involve extensive fieldwork duties, frequently with overnight stays, and you should be
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Application Deadline 23 Sep 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 programme Is the Job related to staff
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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experience of the implementation and critical assessment of idealised and/or complex atmospheric numerical models good communication skills and the disposition to collaborate effectively with both internal and
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articles Co-developing new models and methods in the form of education and health toolkits Coordinating impact related activities with stakeholders Collecting impact evidence Social media and publicity
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-genome deep-sequencing data collected as part of the Office for National Statistics Covid Infection Survey, with a focus on using household data to enable methods for determining who-infected-whom using