136 parallel-programming-"EPIC" positions at Technical University of Denmark in Denmark
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
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study 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
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or master’s degree in engineering, or equivalent, with hands-on experience in numerical modeling and software development for structural applications, preferably wind turbine blades. Advanced programming skills
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, Programming, and Physics. Python has been selected as the standard programming language in these courses, and all new students are expected to have a functional Python environment on their personal laptops
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with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The assistant professor position is part of DTU’s Tenure Track program. Read more
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of the PhD study 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
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Job Description We are looking for two highly skilled and motivated organic synthetic chemists for our programs within carbohydrate chemistry, oligosaccharide synthesis, and glycobiology. You will
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. The position is part of DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem