66 programming-"LIST"-"U"-"Washington-University-in-St"-"U.S" positions at Technical University of Denmark in Denmark
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC5 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a
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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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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
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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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, Transportation Science, Economics, Geography, Physics, or Computer Science Experience from various application areas within the mobility and/or transport domain, and a strong list of publications in these areas
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Continuum mechanics Large deformation elasticity Design of mechanical devices Programming skills As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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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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you are open to working with other colleagues. Qualifications You can work independently, plan and execute complicated and challenging tasks. You are flexible, self-motivated, interested in
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit