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Job Description We seek candidates to join the Algorithms Section. The focus of the call is both to expand at the new Vejle campus and to strengthen the Odense campus. We have several openings, and
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contribute to the development of novel algorithms and methodologies that enhance the robustness and accuracy of acoustic measurements. We are looking for a highly motivated candidate, with a relevant MSc
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at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment
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of the algorithm in the Thermal laboratory. Development and demonstration of an optimal maintenance schedule algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the validated simulation
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, number theory, mathematical aspects of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress
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provide preliminary schedules with the flexibility potentials for trading with the surrounding energy system. Your competencies We are looking for a team member who immediately can contribute to the topic
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for minimizing CO2 emissions and costs and provide preliminary schedules with the flexibility potentials for trading with the surrounding energy system. Your competencies We are looking for a team member who
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/ for more information. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics
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://sustainai.sdu.dk for more information. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and
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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing