17 programming-"the"-"DAAD"-"IMPRS-ML"-"IDAEA-CSIC"-"U"-"UCL"-"https:" "Prof" positions at Technical University of Denmark
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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of the PhD study program, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Sebastian Meier and Assoc. Prof. Martin Nielsen. We strongly prefer
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. The main supervisor will be Assoc. Prof. Francesco Da Ros, DTU
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magnetic refrigeration device based on a novel concept. 205 years ago, the founder of the Technical University of Denmark, Prof. H.C. Ørsted, discovered the link between electricity and magnetism. Since
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supervisor will be Assoc. Prof. Francesco Da Ros, DTU Electro. Responsibilities and qualifications The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a
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expect the candidate to have: PhD in transportation science, machine learning, behavioral economics or a related field. Programming skills Python, along with experience working with transportation
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screening and characterization to generate and validate novel enzymes with tailored specificities. Under the joint supervision of Assoc. Prof. Birgitte Zeuner and Assoc. Prof. Timothy P. Jenkins, the PhD will
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of platform fabrication will be a central aspect that has to be considered. Your primary tasks will be to: plan and execute experimental research design and fabricate micro- and nanoelectrode chips in the DTU
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the supervision of Prof. Massimo De Vittorio. You will be a part of the IDUN Center of Excellence, led by Prof. Anja Boisen at DTU Department of Health Technology (DTU Health Tech). IDUN is a highly cross