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the museum's liaison with relevant Danish natural history communities. The successful applicant will be expected to establish and develop an externally funded collection-based research programme/group
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high-performance computing environments. Strong background in biology, including knowledge of phylogeny and taxonomy. Analytical mindset and ability to work systematically. Great ability to work both
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Characterization groups, which develops quantum photonic technologies for future fault tolerant quantum computing processors, while designing activities will be performed with the NQCP Theory and Simulation team
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separation, mass spectrometry methods, and data processing pipelines Drive innovation through the development and implementation of new analytical and computational technologies that advance high-impact
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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strong-field quantum electrodynamics and wishes to expand into other or similar areas of research performed at CERN, preferably areas that may be synergetic with the current activities. We are thus looking
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role is part of our commitment to advancing DTU Chemical Engineering as a world-leading department in chemical and biochemical product technology, with a special focus on sustainable, high-performance
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project courses and BSc and MSc thesis projects and co-supervise PhD thesis. Have high self-motivation to learn. The selected candidates will be enrolled in the Lecturer Training Programme at SDU
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for ensuring agentic AI solutions fitting the complexity of the problem, as well as matching the computational power available, ranging from high performance computers to ordinary laptops. You understand
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the design and optimization of multiphysical systems, with a particular emphasis on high-performance computing methods. This includes structural design of fluidic, thermal, microwave, and acoustic devices