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well as experimental and computational approaches. The ideal candidate will have a strong interest in gene regulatory mechanisms, with a track record of creative research in molecular biology, cell biology, genomics
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To be admitted to the PhD programme, applicants must hold a bachelor’s and master’s degree (120 ECTS), or equivalent, in a relevant social science discipline and/or history. Applicants with degrees in
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of Materials, Computational Chemistry, Theoretical Nanoscience or a closely related field), with a strong A level (or equivalent) in Physics, Chemistry or Engineering. A track record of publication in high
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/research/groups/afm.page ) engaged in a wide range of experimental and numerical studies of turbulent flows. The AFM research group is comprised of experts in theoretical, computational and experimental
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/research/groups/afm.page ) engaged in a wide range of experimental and numerical studies of turbulent flows. The AFM research group is comprised of experts in theoretical, computational and experimental
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explore and develop new types of memristors that can be switched both optically and electronically, therefore opening the route to new applications in computer vision. The position will be based in
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: Position Type: Fellowship or award Position Location: University of Helsinki, 00014, Finland Subject Areas: Astrophysics / High Energy Astrophysics , Computational Astrophysics , Theoretical Astrophysics
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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Job reference: SAE-030243 Salary: £37,694 - £58,225 per annum depending on experience Faculty/Organisational Unit: Science and Engineering Location: Oxford Road Employment type: Fixed Term Division
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research