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and efficient data transmission, fault-tolerant communication, and navigational data integrity will also be explored. The ideal candidate has completed a PhD in mathematics, or related fields, with a
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(e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in an outstanding research environment. You will be part of a
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or in a related quantitative field (e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in an outstanding research
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. DTU Compute DTU Compute – Department of Applied Mathematics and Computer Science – is an internationally unique academic environment with 400 employees and 10 research sections spanning the scientific
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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a Postdoctoral position in operator algebras with a focus
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The Danish Institute for International Studies (DIIS) is recruiting a fully funded, 18-months postdoctoral researcher for the DFF-funded research project Reimagining energy futures, designing techno-political orders: Germany and Poland at the crossroads of energy transition, to work on the case...
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for candidates with strong backgrounds (preferably PhDs) within mechanical engineering, manufacturing engineering, materials science, applied mathematics or physics. Specific disciplines will involve heat transfer
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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, applied mathematics and computational sciences with a strong focus on computational humanities research. The project leverages an extensive dataset of digitized books, newspapers, and visual artworks