164 genetic-algorithm-computer positions at Technical University of Denmark in Denmark
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“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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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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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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samples, by the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main
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candidate must also fulfill the requirements for admission to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two
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Job Description In the IDUN section at DTU Health Tech, we are currently looking for a technical specialist for producing and characterizing medical devices aimed at Therapeutic Drug Monitoring (TDM). Within the framework of our European Innovation Council grant ‘Automated Clinical Platform for...
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. 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 offer DTU is a leading technical university globally
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Technology and Computer Science”, where you will have about 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and education
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to your skill set and interests – related to building infrastructure and enabling easy access to shared datasets and moving them to the compute resources. The goal is to assist users in accessing and