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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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interdisciplinary Convergence Environment under UiO:Life Science, based at the Natural History Museum, and in collaboration with the Department of Mathematics, the Department of Biosciences and the Department
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scientific qualification (doctorate) Requirements: - completed scientific university degree in physics, biology, computer science, computational neuroscience, or a closely related discipline
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of Electrical and Electronic Engineering (EEE) and the School of Physical & Mathematical Sciences (SPMS) at Nanyang Technological University, Singapore Collaborate worldwide to identify new candidate materials
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1049-001 Lisboa ELIGIBILITY CONDITIONS Any national, foreign and stateless candidate(s) holding a MSc in Mathematics or Computer Science and with a suitable scientific and professional curriculum may
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about to obtain* a PhD (awarded / submitted*) in health data science, epidemiology, medical statistics, or a closely related area such as computer Science, or mathematics (* If PhD pending, it must be
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”, financed by National public entities (IFAP), under the following conditions: Scientific Area: Informatics Engineering Admission requirements: Bachelor’s degree in Mathematics or Informatics Engineering or
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background in computer programming Strong background in relevant mathematical modelling Experience with interdisciplinary work A keen interest in natural history, nature conservation, science and society Grade
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
, applied mathematics, computational science, or a closely related field Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Strong background
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, in close collaboration with the machine learning group at the Department of Informatics, both at University of Oslo. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs