67 parallel-and-distributed-computing-"LIST" Postdoctoral positions at Technical University of Denmark in Denmark
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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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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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, or reinforcement learning Proficiency in Python and contemporary software ecosystem for optimization, dada management, and API development Experience with teaching and supervision Experience with IoT, edge computing
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Academic Diplomas (MSc/PhD – in English) List of publications Names and contact information of references Applications received after the deadline will not be considered. All interested candidates
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file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Contact of 2 references Applications received after the deadline will not be
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, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Research experience and
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Academic Diplomas (MSc/PhD – in English) List of publications Research vision summary (max. 2 pages) Contact information of three referees Applications received after the deadline will not be considered. All
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candidate will have a strong background in physics, geophysics, materials science, computation, engineering, or a related discipline. Documented research experience in one or more of the following areas will
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English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Applications received after the deadline will not be considered
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs