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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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are invited from candidates with a PhD degree from a broad range of fields, such as communication, political science, computer science, media studies, or sociology. For more information, see the complete job
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scientific and technical supervision to students and technical staff. Facilitate collaborations and ensure alignment between experimental and computational research teams. Your competencies The ideal candidate
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development, knowledge exchange and degree programmes. With its 700 academic staff members, 200 PhD students, 9,000 BA and MA students, and 1,500 students following continuing/further education programmes
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and ecology, and biodiversity. The Department currently employs approximately 275 academic and technical staff, as well as PhD students, distributed at two geographical locations in Aarhus and Roskilde
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deliverables with high standards of accuracy and clarity. Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students We are looking for candidates with: Skills in molecular biology