95 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Aalborg University in Denmark
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than 250 employees and approximately 1,200 students across the two cities. Our research and study programmes are rooted in sustainability and the green transition. This means we conduct research in areas
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systems, integrated sensing and communication, and theoretical modeling of 6G systems Solid mathematical background and significant experience in scientific computing programming (MATLAB, Python, C/C
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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