23 mathematics-graph-theory research jobs at Technical University of Denmark in Denmark
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, which includes mathematics, computer science, physics, chemistry and biology, provides the foundation for new and innovative technology for the future. Technology for people DTU develops technology for
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. 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 digital
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equivalent). Other qualifications and competences include: Experience with bioinformatics Experience with mathematical modelling and programming, including source attribution modelling of foodborne pathogens
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, you will contribute to research-based teaching and the supervision of student projects. Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and
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Energy, Electrical Engineering, Applied Mathematics, or a related discipline Strong skills in optimization and mathematical modelling, including robust and stochastic methods Proven experience with
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. During the project, you will work closely together with colleagues in theory who propose optimized designs for your devices, and both receive and provide help to fellow colleagues performing
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consortium. As a formal qualification, you must hold a PhD degree (or equivalent). Other qualifications and competences include: Experience with mathematical modelling Experience with toxicology Experience
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, petroleum engineering, and mathematics or a related field. We are specifically seeking candidates who have, or are willing quickly to acquire the following skills: Phase equilibrium calculation algorithms
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Job Description Nanomaterials and Nanobiosensors Group at DTU Healthcare Technology invites applications for a postdoctoral position to develop portable diagnostic devices and in vivo biosensors. If you are passionate about developing cutting-edge diagnostic technologies that can make a...
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partners and optimize them for nonlinear quantum processes Collaborate with theory colleagues to refine fiber designs based on experimental feedback Disseminate results at international conferences and in