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You You will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis
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Fritzsche, conducting individual research, analysing detailed and complex qualitative and/or quantitative data from a variety of sources, and generating original ideas by building on existing concepts. You
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access, analytical methods, and protocols, maintain clear documentation, and coordinate data exchange with partner sites and repositories. They will contribute to project design, manuscripts, presentations
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analytical and/or computational approaches to many-body quantum systems, differential equations, and quantum computing. This includes carrying out collaborative projects with colleagues in partner institutions
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should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in high-resolution, analytical scanning transmission electron
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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the Blackholistic collaboration, which is funded by an ERC Synergy grant and aims to try and unify accretion and jet formation across the black hole mass range. The collaboration incorporates observations, analytic
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biophysics, and cutting-edge analytical technologies. Your expertise in optical microscopy, single molecule imaging, computational imaging and data analysis will help us further develop mass photometry and
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you You will hold a PhD/DPhil or be near completion of a PhD/DPhil in a related subject area and have