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collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with
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) monitoring of flora and fauna dynamics inside and outside restored areas; 2) evaluation of eDNA as a monitoring tool; and 3) assessment of the broader ecological consequences of ecosystem restoration in
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(pressure, temperature, etc.) Signal conditioning and digitization for heterogeneous sensor inputs System-level validation and interfacing with SNN-based hardware What You Will Do Design, simulate, and verify
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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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-edge motion planning and control for next-generation autonomous underwater vehicles (AUVs). As part of a dynamic, interdisciplinary team, you will contribute to the development of an innovative AUV
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campus in Risø, just 30 minutes from Copenhagen, you will evolve within a dynamic, inclusive, and collaborative research environment, immersed in both academic excellence and real-world industry relevance
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candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
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privacy guarantees. This PhD project will develop scalable, privacy-preserving coordination models that jointly optimize DER integration, electrified loads, and data-center flexibility — ensuring fairness
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application. Curriculum Vitae. Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation). Completed TEK PhD application form