69 project-coord Postdoctoral positions at Technical University of Denmark in Denmark
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is looking for a post doc with a background in seafood science and/or seafood development or processing for a large project in collaboration with Food and Agriculture Organisation (FAO), which is an
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group within the Section of Solid Mechanics, Department of Civil and Mechanical Engineering is hiring a highly qualified and ambitious Postdoc, to join a Novo Nordisk Foundation-funded project, “Rubber
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a link to an open-source project you contributed to in your CV if available. Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender
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the ERC Advanced Grant LUMIN. This cutting-edge interdisciplinary project aims to understand charge transport in the natural mineral feldspar, unlocking new ways of measuring the rates of Earth surface
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of the overwhelming majority of all such tools in existence today yield properties that fail to map to bonds, the entities of main interest to most of synthetic chemistry. To that end, BONDS – a new long-term project
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. The project is part of an international collaboration with leading experts at KTH Royal Institute of Technology in Sweden, offering the opportunity for extended research stays at both DTU and KTH. We
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activities Collaborate with researchers across Denmark and Europe in an interdisciplinary environment Help coordinate project efforts across En’Zync partners, including DTU, Aarhus University, the Danish
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Effects” group, an internationally recognized research team with expertise spanning fiber design, nonlinear effects, and quantum optics. The position is part of the TORNADO project, funded to explore higher
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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/or high-temperature heat pumps based on power cycles. Design thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction