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. CFA is currently studying how the model influence research-industry collaboration in two programs, Plant2Food and ODIN (Open Innovation Discovery Network) . As part of a small interdisciplinary project
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well as academic relevance in relation to the job description. Participation in networks – national and international. Previous experience with interdisciplinary collaboration and research. Good interpersonal skills
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, and organometallic chemistry, catalysis, materials science, and process development. As part of a vibrant academic and industrial network, including strong ties to CORC, group members gain access to a
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interdisciplinary environment with many national, international collaborators; a working climate that invites lively, open, and critical discussion; a working environment with close working relationships, networking
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of experience with research on fish diseases, and a large international network. The section is the National reference laboratory on fish, crustacean and mollusc diseases, and EU reference laboratory on fish- and
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opportunities to engage with top universities and leading cybersecurity researchers, expanding your professional network. Traditional cybersecurity relies on strong defensive barriers, but sophisticated attacks
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
facilities An informal and multicultural research environment with high professionalism and close collaboration and networking activities A workplace characterized by equality and a good work-life balance, and
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, networking, cybersecurity, or a related area relevant for the position. Solid knowledge of system security. Experience with real-time systems and/or safety-critical systems is a plus. Proven research skills
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is part of the MADE(Manufacturing Academy of Denmark) research and innovation network, the positions will be closely linked to fellow researchers at other Danish universities through both academic and
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transcriptomics Genome-wide CRISPR screening in both in vitro and in vivo disease models The project will involve identifying gene regulatory networks driving age-related phenotypes and exploring therapeutic