77 master-degree-in-mechatronics Postdoctoral positions at Technical University of Denmark
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within the Faculty of Social Sciences at the University of Copenhagen. You will work closely with other CAISA postdocs, fellows and chief scientists, and will be advised and supported by
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of dynamic operation, which is essential for effective system-level integration. The technology should have a high and stable electrochemical performance. Furthermore, mechanical robustness is a challenge
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in close collaboration with academic collaborators. Your primary tasks will be to: develop research activities in the areas of biomass characterization and fractionation (including hydrothermal and
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infectious diseases. We are looking for creative minds with excellent practical lab skills to design smart syntheses and engage with collaborators and biologists. Responsibilities The main responsibility is to
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employed on the project, with local scientists in the developing countries as well as with the project team in FAO’s headquarters in Rome and in the developing countries. Your primary tasks will be
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academic and non-technical publications. Communicate insights and findings with practitioners and stakeholders. Qualifications: We are looking for candidates with: A master’s degree and a PhD (or submission
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the project. Your main tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces
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Denmark as well as abroad. Your primary tasks will be to: Develop, test, analyse, simulate and predict the capture performance of new fishing gears. Produce high quality scientific and/or engineering papers
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soon as possible thereafter. You will join a young and dynamic research team working at the interface of chemistry and biology. Responsibilities and qualifications One of the main goals of our research
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. Responsibilities and qualifications Your primary focus will be to develop a comprehensive database and conduct novel research on how university innovation ecosystems influence the performance and scaling of deep