68 post-doc-image-processing PhD positions at Technical University of Denmark in Denmark
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other duties, which are broadly in line with the above duties and responsibilities. Where to apply E-mail reunatech@rwth-aachen.de Requirements Research FieldEngineering » Civil engineeringEducation
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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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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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biologics development. About the position The purpose of this project is to optimize the process of binder design through closed-loop optimization, emphasizing the efficient achievement of high-affinity and
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read more about DTU Physics at physics.dtu.dk . Further information may be obtained from Head of Department Jane Hvolbæk Nielsen, tel.: +45 4525 3222, e-mail: jane@fysik.dtu.dk . If you are applying
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motivated candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low
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the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 15 June 2025 (23:59 Danish time). Applications must
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-polymers using AI-driven process intensification, safe-and-sustainable-by-design principles, and smart polymer formulation. The project brings together leading academic and industrial partners to create a
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effective enzymatic recycling processes. We are looking for candidates with strong qualifications in some of the following areas, and a motivation to develop within others: Protein chemistry Enzyme kinetics
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy