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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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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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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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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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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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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