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/multiqubit . The project is supported by an ERC Consolidator grant (M€ 2.6) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and developing
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environmental scientists/engineers to generate key indicators and eventually, building a database and open-source models to be executed by the global biotechnology community. One of the key aspects of this PhD
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Job Description Are you a skillful and ambitious PhD graduate interested in kicking off your academic career in a renowned research group leading in the field of applied thermodynamics with a strong
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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coil patterns and core geometries, to reduce coil loss in HPMCs You will also contribute to teaching and supervising BSc and MSc student projects, and be co-supervisor for PhD students. Anyone who: has a
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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, tailored to the high-temperature PEMFC system to produce warm water for practical applications (e.g., heating and washing) in disaster areas. You must hold a PhD degree (or equivalent) in mechanical
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, suppliers or developed within a PhD project at DTU Energy. Characterize the sorbents (such as Metal-Organic Frameworks (MOFs), zeolites and activated carbons) by setting up and using advanced adsorption
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Engagement in discussions and communication with colleagues and project team Documentation of work and dissemination of results Qualified candidates must hold a PhD degree (or equivalent) in materials science
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headed the authoring of published scientific papers. As a formal qualification, you must hold a master’s degree (Research Assistant) or a PhD degree (Postdoc) We offer DTU is a leading technical university