57 parallel-computing-numerical-methods PhD scholarships at Technical University of Denmark in Denmark
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offer Joining our team will provide you with numerous benefits, including: The opportunity to explore completely new regimes of physics and information, both theoretically and experimentally
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design
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theoretical and computational work in topological photonics and nanophotonics. Day-to-day project activities will include numerical computation and theoretical analysis of the photonic properties of candidate
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, satellite altimetry, ice flow maps and terminus positions and other relevant data to constrain numerical model to simulate 1900-present and future (present-2100) ice flow changes under different UN IPCC
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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Job Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling future power and energy systems? The Renewable Plants in
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primarily experimental, complemented by numerical modeling, and will be carried out within the “Fiber Optics, Devices, and Nonlinear Effects” group at DTU Electro. As a PhD student, you will be part of a
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment We will be using shortlisting based on educational background, experience and preferred qualifications and call a number of
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. The overarching goal of this newly funded project is to realize quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks