71 mathematics-computer-science PhD positions at Technical University of Denmark in Denmark
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construction, advanced analytical techniques and modelling of binder chemistry while contributing to the green transition of the construction sector. Responsibilities and qualifications The project will
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University of Denmark, Department of Civil and Mechanical Engineering (DTU Construct ), invites applications for a fully funded 3-year PhD position in advanced thermal energy storage. About the Project
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demand flexibility, solar and wind energy can be used to an optimal extent. The Technical University of Denmark, Department of Civil and Mechanical Engineering (DTU Construct), invites applications for a
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
Job Description If you are looking for an exciting opportunity for PhD, we at Materials and Surface Engineering section, Department of Civil and Mechanical Engineering, Technical University
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Job Description The Climate and Energy Policy Division at DTU's Department of Technology, Management and Economics offers a three-year PhD position in the Energy Economics and Modelling section
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Development of electromagnetic measurement techniques Interaction with relevant industrial partners As a PhD candidate at DTU, you will take part in an educational program of 30 ECTS tailored to your needs
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Job Description Are you ready to use data and engineering to change how industries manage complex systems? At DTU Construct, we offer you the chance to pursue a PhD that bridges cutting-edge
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. At DTU Sustain, you will work at the forefront of environmental engineering and photochemical technology, developing innovative solutions for the degradation of per- and polyfluoroalkyl substances
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation
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candidate in the Acoustic Technology group at DTU Electro, you will conduct fundamental research in statistical signal processing and machine learning for microphone arrays, addressing real-world challenges