96 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "U.S" positions at Aalborg University in Denmark
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Mathematical modeling of Knee OsteoArthritis) funded by the Novo Nordisk Foundation under the Challenge Program on Mathematical Modeling of Health and Disease. The MathKOA research project Osteoarthritis (OA) is
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. The candidate will be expected to collaborate with young and senior researchers on the new research programme: Civil Engineering and the Green Transition in the Built Environment (CEBE). This includes
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Copenhagen. We have more than 250 employees and approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct
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employees and approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct research in areassuch as the
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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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February 1, 2026, or as soon as possible thereafter. Your work tasks In the MSc programmes in Economics and Business Administration, there is a need for one or more external lecturers to contribute
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team
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. Your competencies We thus imagine that you: have a strong background in digital signal processing and machine learning; have substantial experience with scientific computing in Python/C++/ROS; know