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of experience within the field. Scientific and numerical programming in Python or R and knowledge of class ML methods and deep learning methods. Well versed in a variety of bioinformatic analyses, including Next
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific
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field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods and scientific computing. High
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the application deadline. Have a solid background in quantum computing and quantum algorithms, sufficient to conduct research on the topic. Have programming skills (e.g., Python) and experience with numerical
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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and parallelization of scientific simulation codes. In research in theoretical or computational quantum physics. In the development and application of Quantum Monte Carlo methods. Having worked
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, numerical systems designs. The project builds on complementary developments from both teams: TRAITOR for experimental fault injection and µArchiFI for formal securi Applicants should hold a PhD in computer
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institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA team regularly participate in collaborative projects
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responsible for developing and analysing numerical models that describe progressive damage in laminated composites, with a clear emphasis on transferring detailed fracture mechanisms to models that can be used
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accuracy Computer literacy Preferred Qualifications Experience and demonstrated skill with using the teaching method of asking questions for self-discovery Strong facilitation skills Clear and concise