47 parallel-and-distributed-computing-phd uni jobs at Technical University of Denmark in Denmark
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50 PhD students. More than 35 nationalities are represented at the Institute, and we support an equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and have
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, and in time are expected to master both. As a formal qualification you must hold a PhD degree (or equivalent), preferably in Environmental Engineering, Chemical and Biochemical Engineering, Applied
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quantitative analysis and modelling that integrates and handles various interdependent data such as technology characteristics, cost distributions and components, material choices, sizing of components and
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of new group members and visitors in technologies and protocols used in the laboratory as well as supervision of selected PhD students and BSc/MSc students. The position has direct reference to the Enzyme
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Technology and Computer Science”, where you will have about 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and education
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emphasis on impacts of climate and environmental factors on fish early life history, growth, reproduction, survival and distribution including invasive species. You will closely work with colleagues in
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delivering impact to society and our common future. To do so, you will: Develop the research field by defining ideas and concepts for future projects Write and collaborate on research proposals, incl. PhD
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. Bachelor, master and PhD thesis supervision. Publish research in reputable conferences and journals. Assist with fund raising Support with project management of research and research-based consultancy
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. A dedicated full-time programme manager supports the course's coordination and delivery. Furthermore, you will facilitate and maintain meaningful collaborations with industry partners, industry
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structure and function. This includes the integration of experimental data and the rigorous validation of computational models to ensure reliable and interpretable outcomes. Collaborate closely with internal