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in-line characterization of surface quality and part accuracy. The researcher will furthermore contribute to the research group’s activities in natural materials-based manufacturing, with focus
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. We are part of Quantum DTU — the Center for Quantum Technologies at DTU. Read more about the research in our group here . Responsibilities and qualifications You will find working solutions to major
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on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ The applicant will be assessed
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled
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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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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an ambitious group that fosters collaboration, research excellence, and quality education. The
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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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charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students working collaboratively
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pavements that are subjected to moving, accelerating, braking, and turning wheel loads. The work will be carried out as part of the LOOPER project, supported by the Danish Energy Agency. The LOOPER project