454 computational-physics "https:" "https:" "https:" "https:" "IFM" Postdoctoral positions in United Kingdom
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within a collaborative and interdisciplinary team of postdocs and PhD researchers in QMUL’s School of Physical and Chemical Sciences, the successful candidate will contribute to both the scientific and
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**Internal Only** About the Role We are seeking a highly motivated and talented Postdoctoral Research Associate to join an interdisciplinary research programme investigating genetic and molecular
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, including Professors Christos Bourantas and Francesca Pugliese, alongside basic scientists at the Institute and a clinical fellow within the same BHF programme. The role offers the chance to develop expertise
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criteria: • Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience • Strong background in mathematical optimisation
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fields of research. They will be pursuing an independent programme of advanced study and research in Israel Studies, prepare research publications and publish high-quality research in peer-reviewed
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, including Professors Christos Bourantas and Francesca Pugliese, alongside basic scientists at the Institute and a clinical fellow within the same BHF programme. The role offers the chance to develop expertise
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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An exciting opportunity has arisen for a Postdoctoral Research Assistant in the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres
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instance), working full-time for 37.5 hours per week, though where possible, part-time arrangements may be considered. About You With a background in materials science, physics, engineering, computer
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and