26 postdoctoral-fluid-dynamics PhD positions at Technical University of Denmark in Denmark
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student to join our dynamic and interdisciplinary research team in the Section of Construction Materials and Durability at DTU Sustain. Through advanced experimental work and modelling, you will help
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3-year fully funded PhD position in the Applied Stem Cells group (ASTEM) within the Section for Cell and Drug Technologies. You will join a young and dynamic research environment where we combine
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consist among others of the following tasks: Investigate the links between nonlinear dynamics and computing metrics in micro-ring resonators and coupled ring-resonator architectures Evaluate the number and
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. Apply operando spectroscopy, such as Raman spectroscopy, to capture reaction intermediates and catalyst dynamics under realistic conditions. Detect and analyze products in real time using state-of-the-art
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Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
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samples, generating robust insights into evolutionary history, population dynamics, and extinction processes. Your primary tasks will be to: Develop bioinformatics pipelines for assembling genomes from
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amongst the leading international entities in technology entrepreneurship and helps develop an entrepreneurial culture across DTU. As part of a dynamic and evolving ecosystem, we combine practice-oriented
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developing 3D vision algorithms for object detection, recognition, and scene understanding to support planning and task execution in dynamic environments. Publishing research findings in leading international
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. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme-substrate
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Job Description If you are ambitious and interested in joining a supportive and dynamic research team working with Operations Research and Machine Learning on an important application look no