169 parallel-and-distributed-computing-"Meta"-"Meta" positions at Technical University of Denmark
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requirements and the general planning 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
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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, please see DTU's rules for the PhD
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer We can offer an inspiring workplace in the Research Group for Foodborne
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enrolment requirements and the general planning 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
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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
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general planning 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
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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We
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Job Description Do you want to help accelerate the green energy transition through scientific software? We are looking to expand our software development team with one or more scientific software developers. We are especially interested in individuals with strong domain knowledge in wind energy...
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documentation in enzyme biotechnology with a relevant educational background, and expertise in enzymology and molecular biology techniques. Practical experience with protein informatics, cloning, protein
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externalities of transport. The division is interdisciplinary with scholars originating from transportation engineering, economics, psychology, computer science, social data science, machine learning, mathematics