149 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Technical University of Denmark in Denmark
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, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to
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programmes, especially in areas such as: Embedded systems and digital design, Hardware/software co-design, Dependable and real-time systems, Operating systems and system-level programming, Verification and
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design to testing, programming neural interfaces, neural data analysis. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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are looking for a passionate PhD candidate in Thermal Energy Systems with strong programming, optimization, and dynamic analysis of energy systems. This position is on the Horizon Europe-funded project
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. Understanding of embedded programming, computer architecture and digital electronic systems. Experience with low-level bare-metal coding, particularly in C/C++. Understanding of digital electronic systems
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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capture simulation. You have strong programming skills and are familiar with thermodynamics and process simulation. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a
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biomolecules, translational research, and therapeutic development. Are independent, motivated, and excited about growing an ambitious research program. Exhibit excellent communication skills and enjoy
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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to obtain) a master's degree in physics, astronomy or engineering. Applicants with previous experience in observational astrophysics, strong programming skills and knowledge relating to data reduction