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spatiotemporal resolution requirements. The PhD project is part of the European Marie-Curie network ELEVATE, and includes a short stay at the location of another partner in the project. Required background
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? The Villum Investigator group will (eventually) consist of three postdocs, three PhD students and will be part of the section for Theoretical High Energy Physics, Astroparticle and Gravitational Physics
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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or English shall be delivered. III.4. Applications that are not duly instructed or do not fulfil the formal criteria for admission to the competition, under the terms defined in the legislation in force and in
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disciplinary depth and interdisciplinary approaches. It also offers opportunities for international network building. The members of the Academic Board of the doctoral programme belong to different disciplines
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benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
on sustainable feedstocks. Supervise and mentor PhD students and postdocs. Drive national and international research funding applications. Collaborate with academic and industrial partners, including engagement
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-film solar cells.” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods for materials discovery. Project