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enthusiast, this PhD position allows you to change the core of data handing in the buildings sector. Position (Post-doctoral) Researcher Irène Curie Fellowship No Department(s) Built Environment Reference
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Development Scientific Staff Vacancies PhD EngD Support staff Professional Development Support Staff Vacancies Why TU/e Compensation and benefits Application process Support for internationals Working at TU/e
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tools for effective collaboration with project partners. Job requirements Educational Background: Completed PhD or MSc degree in a field relevant to the project's focus, such as social sciences
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requirements A PhD degree in (Applied) Physics or Mechanical Engineering. Experience in experimental fluid dynamics. Affinity for theoretical/numerical modeling in fluid dynamics. Enthusiasm for working in a
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other PhD students and post-docs on this topic. The successful candidate should be excited about applying machine learning and automation to chemistry, specifically setting up a workflow based on active
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Engineering, or related disciplines with excellent grades. Good publication record. A team player who enjoys coaching PhD and Master students in multicultural teams. Good communication and organization skills
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, assistant/associate professors, engineers, PhDs, and students. The candidate will interact with experts on photonic integration and QKD systems and with the team establishing the testbed for quantum secure
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to this position will be carried out in the ICT Lab within the EE Department, and in close collaboration with Dr. Hamdi Joudeh. Job requirements PhD degree in Electrical Engineering or closely related fields
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, explainable AI, human-in-the- loop solutions in the healthcare context. You have a PhD in visual analytics ideally in relation to explainable AI and/or healthcare context. You have good communication skills