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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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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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, 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