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-throughput experimentation (HTE), machine learning/AI-driven models, and design of experiments (DoE) Hands-on operation and reaction automatization using robotic platforms (e.g., ChemSpeed) for catalyst
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Our research team - Dynamic Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department
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Location: University of Nottingham, Faculty of Engineering Start date: 1 October 2026 Application deadline: 14 May 2026 Project type: Collaborative PhD studentship (joint Academic-Industry
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neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates
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engineering Engineering » Systems engineering Engineering » Process engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 19 Jun 2026 - 23:59 (Europe/Oslo
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for a passionate MSc graduate to join a transformative PhD project in accelerated materials discovery for energy applications, within the strategic initiative DIREXTE. The research will focus on complex
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and international partners. The PhD student will be supervised by Associate Professor Elin Hernlund (SLU) and co-supervised by Professor Hedvig Kjellström (KTH, Division of Robotics, Perception and
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maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Program https://www.ntnu.edu/studies
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wildfire management. Admission requirements: Master or PhD holder in the areas of Computer Science, Robotics, Electrical and Computer Engineering, Engineering Physics or a related area (see selection
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more than 10 pages, which combines your personal, teaching, research and diversity statements. You should have a PhD in Robotics, AI, or a closely related field and be able to demonstrate a thorough knowledge