39 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "CMU Portugal Program FCT" research jobs at Aalborg University
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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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, and clinical health and technology. In addition to the graduate programmes, we are specialized in postgraduates’ studies within pain science and within digital health. Our graduates contribute
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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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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
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located in twobeautifulharbour-front locations in both Aalborg and Copenhagen. We have more than 250 employees and approximately 1,200 students across the twocities. Our research and study programmes
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colleagues from Media Technology, Lighting Design and Sound and Music Computing. Qualification requirements Appointment as a research assistant requires academic qualifications at master's degree level. How
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skills with the ability to connect theoretical modeling to practical, experimental data. experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments