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A postdoctoral research position is available in the area of computer modelling of new materials for next-generation photovoltaics within the group of Professor Saiful Islam in the Department
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in computer architecture and hardware security, significant
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research in both academic and museum contexts. About you You will hold a PhD/DPhil or be an advanced doctoral candidate (e.g. at the University of Oxford, have at least passed the Transfer of Status and be
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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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