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reports. Job Requirements: PhD in Physics, Applied Physics, Plasma Physics, or related field. Demonstrated experience in scientific computing and numerical modelling (e.g., Python/C/C++/Fortran). Experience
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research. Job Requirements: PhD in Computer Science or relevant fields; Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in
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of assays, a wide range of analytical approaches (such as separation science, mass spectrometry and/or immunoassay), a PhD in a relevant scientific subject with considerable analytical chemistry content
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completed PhD Degree in Medicine, Preventive Medicine, Physiology, Human Health Science, Clinical Medicine, Public Health, or related biomedical disciplines. Professional Background (Core Requirement) Possess
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prior experience in biological or biomedical fields such as neuroscience, genetics, evolution, ecology, ethology, computational/quantitative biology or invertebrate biology) who are keen to apply
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• Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science
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within the NIHR BioResource Centre Maudsley. The GLAD-MHG Omics Cohort, builds on the existing NIHR BioResource GLAD Study (>38,000 participants). The new programme will recruit an additional 12,000
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PhD degree in Electrical and Electronic Engineering, Material Science, Physics or related disciplines. Experience in operating CVD systems for growth of 2D and other nanomaterials. Experience in
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students involved in the research project Qualifications • Have a PhD degree in Electrical Engineering or equivalent from a recognized University with major in Electrical Motor Drives • Relevant
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research that reaches beyond the university. About you (Selection Criteria) A PhD in Materials Science, Chemical Engineering, Chemistry, Electrochemistry, photovoltaic or a closely related discipline