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Department: School of Mathematical Sciences Salary: £42,405 per annum (If appointed in Lieu of PhD, salary start will be Grade 4 £36,572 per annum until PhD is awarded). (Grade 5) Reference: 2406
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Department: School of Mathematical Sciences Salary: PDRA salary £47,178 - £49,785 per annum. If appointed in Lieu of PhD salary start will be £36,572 per annum until PhD is awarded. (Grade 5
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mathematical modeling. Our research is highly multi-disciplinary and will be performed in close collaboration with medical researchers from the Sahlgrenska Academy at Gothenburg University and other medical
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Berkeley Lab’s Applied Mathematics and Computational Research Division seeks a Postdoctoral Scholar with expertise in AI and foundation models (e.g., LLMs) for knowledge discovery. A background in
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information
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Basic Qualifications: A Ph.D. in computer science, applied mathematics, plant biology, or related fields. Applicants cannot have received the most recent degree more than five years prior to the date
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engineering, applied mathematics, physics, or related field with an evidence of understanding nuclear nonproliferation and/or the nuclear fuel cycle. Experience applying machine learning techniques to problems
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attributes: 1. A PhD in Science/Engineering/applied mathematics or related subject, or alternately be very close to submitting a PhD in such a subject. 2. Demonstrable lab experience and/or interest in