73 component-labeling-cuda PhD positions at Technical University of Denmark in Denmark
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of the assessment. All components assembled together will finally inform a decision support system that should enable you to assess the resilience of the marine offshore infrastructures under harsh marine conditions
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. This position is part of a strategic research collaboration between DTU and the Korea Advanced Institute of Science and Technology (KAIST), combining expertise in biomedical signal processing, neuroengineering
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and Biomedicine, DTU, supervised by Associate Professor Birgitte Zeuner. The position is part of the department’s mission to understand enzyme action for new sustainable bioprocessing applications
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Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems for testing them? Then join the Precision Medicine Technologies
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intelligence analysis tools. Participate in international conferences. Take advanced classes to improve academic skills. Carry out teaching, teaching support and BSc./MSc. co-supervision as part of the overall
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used. This part of the three-student project is focusing on setting up the closed loop combustion control and adapting this control using self-learning algorithms. Qualifications You should have a basic
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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the Section for Aquaculture, located at our campus in Hirtshals in the beautiful Northern part of Denmark. The section is a vibrant international group that holds a strong expertise in the different aspects
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Job Description Is your ambition to be part of an international research group? Are you interested in conducting research in the field of public health and dietary patterns? Then, we want to hear
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when high-quality DNA or close reference genomes are unavailable. As part of a Novo Nordisk Foundation-funded project, you will design and implement computational pipelines, conduct comparative