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16 Feb 2024 Job Information Organisation/Company University of Copenhagen Department Department of Computer Science Research Field Computer science » Modelling tools Engineering » Biomedical
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and flow in porous media and will be part of the ESS (European Spallation Source) lighthouse SOLID (https://solid.dtu.dk/ ), which looks to exploit the synergy in methods and sciences across materials
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16 Feb 2024 Job Information Organisation/Company University of Copenhagen Department Department of Computer Science Research Field Computer science » Modelling tools Researcher Profile First Stage
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26 Feb 2024 Job Information Organisation/Company University of Copenhagen Research Field All Researcher Profile First Stage Researcher (R1) Country Denmark Application Deadline 5 Mar 2024 - 00:00 (Africa/Abidjan) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through...
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Cosmic DAWN Center, Niels Bohr Institute Faculty of Science University of Copenhagen The cosmic DAWN survey is a deep and wide imaging and spectroscopic survey of 50 square degrees of the sky
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Department of Food and Resource Economics invites applicants for a 3.5 year Postdoc position in Innovation and Sustainability Transitions. The position is funded by the research project Building
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experience: Essential experience and skills: You have a PhD in biomedical sciences You are highly experienced in Molecular biology, Biochemistry or Chemistry Prior publication in internationally recognized
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experience: Essential experience and skills: You have a PhD in biomedical sciences You are highly experienced in Molecular biology, Biochemistry or Chemistry Prior publication in internationally recognized
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Department of Food Science is offering a position as postdoc for a period of 2½ years commencing 1 April 2024 or as soon as possible thereafter to be employed in the Food Proteins research group
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, Evolutionary biology, Molecular Biology or similar You are comfortable with performing animal dissections, and experienced in wet lab DNA work (extraction, PCR, etc.) and computational microbiome analyses (16S