197 parallel-computing-numerical-methods Fellowship positions in Ireland-University-Ranking-2024 in Norway
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, statistics, or a closely related quantitative field, are also encouraged to apply, provided they demonstrate a strong interest in and commitment to applying computational methods to molecular biology and human
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computational methods and tools for predicting functional non-coding mutations in the cancer genome. These methods will integrate diverse sources of information, including the biophysical principles of protein
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computational methods and tools for predicting functional non-coding mutations in the cancer genome. These methods will integrate diverse sources of information, including the biophysical principles of protein
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, statistics, or a closely related quantitative field, are also encouraged to apply, provided they demonstrate a strong interest in and commitment to applying computational methods to molecular biology and human
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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Research Fellow in Formal Methods and Knowledge Representation for Engineering Information at the Department of Informatics. Starting date no later than 31.12.2026. The fellowship period is three years
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11th October 2026 Languages English English English PhD Research Fellow in Computer Science Apply for this job See advertisement This is Western Norway University of Applied Sciences With about
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computing models (non-von Neumann architectures) as a Methode for quantifying computational properties based on emergence and complex dynamics in nanomagnet systems. Nanomagnet metamaterials, Artificial Spin
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funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101312147 Is the Job related to staff position within a Research Infrastructure? No Offer
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants