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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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allowance, long-term leave allowance (if applicable) research, training, and networking events secondments Where to apply: https://elegance.dtu.dk/recruitment Deadline: 31st January 2026 For specific
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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experiments Desirable: • Backend development (Python, Ruby, …) • Linux system administration (deployment, networking) • Experience with decentralized/self-hosted services, e.g. Mastodon, Nextcloud, Matrix
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research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
the Ecology group https://www.sdu.dk/en/forskning/ecology . The successful applicant is expected to have a research background in basic and/or applied research related to systems ecology, with a focus on
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. We are embedded in a broad network of international collaborators and offer a vibrant, international research environment. The lab is at the Biotech Research & Innovation Centre (BRIC), a flagship
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researchers across experimental and computational fields Strong Mentorship: Active supervision and scientific development support International Outlook: Participate in global scientific networks and conferences
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by the EU Research and Innovation programme Horizon Europe, under a grant by Marie Skłodowska-Curie Actions Doctoral Networks (MSCA-DN). The successful candidates must commence their PhD degree