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research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational methods. The main purpose of a postdoctoral fellowship is to provide
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aimed at tackling these computational challenges through the development of new tools, using advanced methods in computational physics and statistical learning. The research to be carried out in
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/molecular dynamics simulations • Implementing computational simulation methods (e.g. in C++) • Geochemistry, fluid-rock interactions Personal skills Enthusiasm, personal drive, and ability to take
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methods in computational physics and statistical learning. The research to be carried out in the announced PhD fellowship will focus on extending the GAMBIT ColliderBit module, using it for large-scale
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en
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advanced computational methods. Knowledge of c++ program-ming language is particularly desirable Experience with supervising Bachelor/Master/PhD students Strong track record relative to the career stage
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advanced computational methods. Knowledge of c++ program-ming language is particularly desirable Experience with supervising Bachelor/Master/PhD students Strong track record relative to the career stage
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, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and
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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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have expertise in at least one of the following research areas: PDEs, numerical methods, optimization, functional analysis, or stochastic analysis Candidates without a master’s degree have until 1st