65 post-doc-dynamics-vibration PhD positions at Technical University of Denmark in Denmark
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ambitions for an academic research career, then you might be our new colleague in our research section ‘Dynamical Systems’ at DTU Compute, where we offer a vibrant and inspiring research community in
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at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
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special focus on the possibilities offered by dynamically controlled cavities and extreme light confinement. You will have the opportunity to co-supervise BSc and MSc students. The project is funded by
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the Center for Cancer Immunotherapy (CCIT) at Herlev Hospital, Copenhagen. You will join a dynamic and international team that utilizes in vivo mouse work and human clinical samples to understand
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Applied Thermodynamics, Transport Processes and Mathematical Modelling. The center has recently entered dynamically into Biorefinery Conversions research field. The focus of Biorefinery Conversions research
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develop protein-based solutions. Manage a multidisciplinary research team, including post docs, PhD students and Msc students. Supervise and guide the team’s research projects related to novel protein and
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-edge motion planning and control for next-generation autonomous underwater vehicles (AUVs). As part of a dynamic, interdisciplinary team, you will contribute to the development of an innovative AUV
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campus in Risø, just 30 minutes from Copenhagen, you will evolve within a dynamic, inclusive, and collaborative research environment, immersed in both academic excellence and real-world industry relevance
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into the Sections of Materials durability and Indoor environment. We offer creative and stimulating working conditions in a dynamic and international research environment, with recently renovated laboratory
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key