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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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involving multi-omics investigation of tissue regeneration in the bladder urothelium. Completing PhD courses or other equivalent education. Participating in active research environments including a stay at
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of Highway Engineering and Transport Planning Prof. Dr. Ana Tsui Moreno Chou Where to apply Website https://jobs.tugraz.at/en/jobs/70653b5d-ba48-c707-00d0-697b15dbcc23/apply Requirements Research
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opportunities Ability to teach and work in a multi-disciplinary, team-based environment Ability to incorporate technology and Learning Management systems into teaching Experience working with scientific
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» Cybernetics Engineering » Control engineering Engineering » Systems engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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Classification Title: Lecturer/Sr Lecturer/Master Lecturer Classification Minimum Requirements: PhD in engineering or a closely related discipline Job Description: The Department of Engineering
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800 students. At the graduate level, the CCEE department also has active MS and PhD programs in Civil Engineering and MS program in Environmental Engineering, with a total sustained graduate enrollment
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offers a unique and stimulating scientific environment, structured around team meetings, laboratory seminars, and interdisciplinary public seminars focused on energy and transition-related topics. The PhD
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 24 hours ago
Infrastructure? No Offer Description A competition is open for the attribution of one (1) work contract vacancy to a Science and Technology Manager (holding a PhD or Doctorate) in the framework of the project
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of the Institute of Chemical Technology ITQ (CSIC-UPV) in Valencia offers a PhD position linked to the project entitled "AI-Enabled Defect Engineering and Mechanistic Discovery in MFI Zeolites", funded by the “la