163 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"O.P"-"PDI-Service" positions at Technical University of Denmark
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the experimental team co-supervise BSc and MSc student projects As part of the Danish PhD program, you will also take PhD courses, participate in teaching, conduct an external research stay, and disseminate your
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programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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technology for people. With elite international research and education programs, we aim to create a better world and tackle global challenges. Founded in 1829 by Hans Christian Ørsted, DTU continues to pursue
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developing enzyme-based approaches to unlock the full potential of lignin — one of nature’s most abundant, yet underutilized, biopolymers. The job As a Specialist, you will plan, execute, and interpret high
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implementations Monitor and improve the numerical and high-performance capabilities of the code Qualifications PhD in computational plasma physics or similar Experience with GPU programming and high-performance
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-time position. The assistant professor position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here
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Job Description The Quantum and Nanophotonics section at DTU Electro is seeking an excellent and highly motivated PhD student to be a part of a program on ‘Symmetry-guided discovery of topological
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programme, please see DTU's rules for the PhD education . Assessment The assessment of candidates will be performed by Professor Bengt Johansson, Project leader of the AI controlled engine project and future
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms