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well as infection-trials in rainbow trout and possibly other fish species. Through our broad network of international collaborators, you will have ample opportunity for long and short research stays at scientific
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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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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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should enjoy engaging in discussions across disciplines and be open to learning from colleagues with backgrounds different from your own. Strong English communication skills, a willingness to contribute to
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Senior Researcher in Ecosystem based marine management, nature restoration, and anthropogenic imp...
on EBMM, nature restoration and anthropogenic impacts on ecosystems in the Baltic seas. Moreover, research experience on fish life histories and communities including field work is an advantage
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the network and in outreach activities with audiences beyond the research community. Prerequisite for applicants On the date you start work (likely to be 1st July 2026), you as researcher must not have lived in
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Description About the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union in which we have 12 open positions for Doctoral Candidates (DCs). We
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project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union in which we have 12 open positions for Doctoral Candidates (DCs). We aim to create a network
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the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union in which we have 12 open positions for Doctoral Candidates (DCs). We aim
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on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms that protect the integrity and reliability of deployed AI