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for the position. DTU Compute DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover
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environment with expertise spanning physics, chemistry, materials science, and computer science, with strong ties to international partners and large research centres. We are looking for candidates who: Have a
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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Job Description A 3-year PhD fellowship in catalytic biomass valorization is available in the Nielsen group at DTU Chemistry. If you find it interesting to combine studies in homogeneous and heterogeneous catalysis with the complex chemistry of carbohydrates and derivatives, then this position...
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Job Description DTU Electro invites applications for a PhD position in digital signal processing and machine-learning-enabled continuous-variable quantum key distribution (CV-QKD). The position is offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network...
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Job Description If you want to push the much-needed advancement of techniques for efficient interaction of electromagnetic waves with lossy materials, such as human tissue, and support the development of your scientific career within the growing field of antennas and metasurfaces for...
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Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges traditional methods of learning and assessment, such as the take-home assignments or exams, which to a...
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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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Job Description The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using state-of-the-art experimental and computational approaches. Our mission is to...
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research areas Transferable skills across proteomics, data science, machine learning and computer science Opportunity to tap into an agile innovation ecosystem Development and application of state-of-the-art