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The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), Campus Odense, invites applications for one PhD candidate position in Computer Science, fully
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the computational biology and bioinformatics field. Developing specialized methods for automatic or semi-automatic, possibly visually aided evaluation and model selection of such algorithms. Developing tailored
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Space and DTU Electro, we invite applications for a position as a PhD student in machine learning aided design of antennas and metasurfaces for efficient propagation and focusing of electromagnetic waves
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Job Description Shape the Future of Energy - Help Redesign How We Store and Use Cooling Cooling systems are essential for modern society - from server rooms and data centers to food storage and
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
layers within the semiconductor packages. This PhD project is part of Center for Climate Robust Electronic Design project funded by Poul Due Jensens Foundation, Denmark. The PhD position also provides
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The research explores how phase change materials that can store “cold” energy when they change between solid and liquid states can help make cooling systems more flexible and reliable. A large-scale pilot
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business School invites applications for several vacant
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Design invites applications for a PhD stipend in the field of causal discovery and spatiotemporal analysis of brain signals. The stipend is within the general study programme Electrical and Electronic
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2 Nov 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for DATA Research Field