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collaboration with hospital departments and industry. We offer an attractive work place with a strong publication output to support an academic career. For more information about our profile and projects, please
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
and energetic constrains ammonia-oxidizing and methane-oxidizing microbes exhibit under oxygen depletion (and while producing oxygen) including single cell activity assays. Applicants should have a PhD
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activities across the center. Requirements: The ideal candidate possesses one or more of the following competencies and skills: PhD or an equivalent degree in chemistry, food chemistry, biochemistry or in a
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during the project period in courses at DTU. Candidates should have a two-year master's degree and as a formal qualification, you must hold a PhD degree (or equivalent) preferably culturing basidiomycetes
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). Detailed Curriculum Vitae, describing research, publication and teaching experience, computational skills and including personal contact information. Verified copy of the official Master's and PhD degree
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Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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. Quantifying circular economy strategies for wind turbine rotor blades, including reuse, recycling, and feedback loops. Assessing the climate mitigation potential of circular construction materials through data
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formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we