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looking for a full-time (100%) doctoral scholarship holder in the field of machine learning for circular polyurethane design. Position You will actively work on the preparation and defence of a PhD thesis
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radically new platform of analog hardware accelerators — so-called Ising machines — that can efficiently speed up these computationally difficult tasks, unlike any current digital computer. These Ising
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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Engineering, Electrical Engineering, Informatics, Computer Science or equivalent or you will have obtained it by the time you start. You can demonstrate excellent study results (as a minimum requirement
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
of Mechanical Engineering (MECH) - Thermo and Fluid Dynamics (FLOW), there is now a vacancy for a PhD research position. In the reacting flow group at FLOW, we aim to address the current challenges in energy
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research support tasks for the Electronics and ICT Engineering Technology Department (at most 20% of your time). Profile You have a master’s degree in Computer Science, Telecommunications, Electrical
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include autonomous systems, robotics, flexible asset (e.g., storage, electric vehicles) management in smart grids, etc. You will publish scientific articles related to the research project. You will carry
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advanced machine learning techniques Optical design and miniaturization of a novel spectroscopic sensor based on freeform optics, optimized for agrifood applications For this function, our Brussels
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hold a master’s degree in computer science, informatics, electrical engineering, telecommunications or a closely related field, or you will have obtained it by the time you start. You can provide
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current measurement techniques have significant limitations. Within RheoLub, the VUB team at Brussels Photonics - B-PHOT (www.b-phot.org ) will focus on the development of optical fibre sensing technologies