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: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
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transfer of cell factories and bioprocesses through internal gate milestones Formulate strategies and developing robust bioprocesses for up-scaling Plan and run batch, fed-batch, repeated batch cultivations
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focusing on place and mobility in the 20th century. We welcome applications from candidates with backgrounds in Danish studies, Scandinavian studies, linguistics or ethnology. The successful candidate will
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen
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at undergraduate and graduate level in the department’s political science and international relations study programs (teaching and supervision will be in English and/or Danish) - supervise and mentor PhD students
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Korean history and/or contemporary Korean culture and society or equal qualifications. At least one peer-reviewed article or a doctoral thesis in English Fluency in both written and spoken English and
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an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a
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, entrepreneurship, and work-life balance. Be part of a university that values innovation, societal impact, and diversity. In this position you will develop and lead a research program focused on applying quantitative
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ecosystem restoration? SustainScapes – Center for Sustainable Landscapes under Global Change at Department of Biology at Aarhus University leads several monitoring programs across different ecosystems in
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the majority are international and the working language is English. The research group of Mikkel H. Schierup currently employs six postdocs and six PhD students in a variety of projects in evolutionary genomics