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to staff position within a Research Infrastructure? No Offer Description Are you passionate about doing research in mathematics? The Korteweg-de Vries Institute for Mathematics is looking
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Are you passionate about doing research in mathematics? The Korteweg-de Vries Institute for Mathematics is looking for an ambitious PhD candidate in mathematics. Your research is part of
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The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics, within the WASP AI program, focusing on geometric deep learning. The position covers four years
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
undergraduate degree or equivalent, in applied mathematics, engineering, or a related discipline have experience writing numerical software in a relevant language (e.g., MATLAB, Julia, Python or C) and modelling
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Job description:Title: DC12, PhD fellowship in applied mathematics - Optimal Transportation to improve databases integration.Researcher profile: Doctoral candidate.Research field: applied mathematics
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interdisciplinary and combines mathematics and statistics with applications in medicine. A substantial part of the research will therefore be done in close collaboration with infection control practitioners
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such probabilistic terms, quantum theory cannot. In this project we will be investigating concrete solutions of the TKMP when K is a finite lattice and immediately using the mathematical solution to address Bell-type
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The Stochastics group at the Korteweg de Vries Institute at the University of Amsterdam and the Actuarial Science and Mathematical Finance group at the Amsterdam School of Economics are pleased
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finite lattice and immediately using the mathematical solution to address Bell-type problems in Quantum Physics. Number Of Awards 1 Start Date 16 September 2024 Award Duration 3.5 years Application Closing
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The Analysis research group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of Numerical Methods for Stochastic Differential Equations