10 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD research jobs in Denmark
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study pre-PhD. Development, teaching, and operation (40%) Contribute to our extensive portfolio of tasks linked to the ongoing digital transformation of the degree programs at Aarhus University
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description With this research position
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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 . Further information Further information may be obtained
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DTU Tenure Track Researcher in Neutron Spectroscopy - Uniaxial Pressure Studies of Quantum Materi...
been closely involved in the construction of the BIFROST spectrometer at ESS. With first experiments approaching, we are now looking for a postdoc to contribute to the early scientific program on
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researchers club ASAP and our own PhD programme, MoMeD. Terms of employment The position is a fixed-term position limited to a period of two years. The starting date is 01.10.2026 or after agreement. Salary
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. The position is a full-time position. The 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 . Further
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at www.food.dtu.dk/english and the Research Group for Global Capacity Building at https://www.food.dtu.dk/english/research/global-capacity-building . If you are applying from abroad, you may find useful information
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SPARK project, starting in September 2026 or soon hereafter. The 3-year project is funded by the EU’s Horizon Europe flagship programme to develop and pilot Stillstrom’s Offshore Power Zone infrastructure
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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed