30 computational-physics-"https:"-"https:"-"https:"-"https:"-"Washington-University-in-St" positions at University of Twente
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Optimisation and Simulation (NEQIOS) together with companies IBM and Enlightra and universities Oxford, Heidelberg and Radboud. NEQIOS aims to create a new class of brain-inspired (or “neuromorphic”) computing
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the selection process. About the department The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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Vacancies Tenured Assistant Professor in Software Security Key takeaways The Computer Science department of the University of Twente is expanding and seeks a new colleague to strengthen its
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in motor control by computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting
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such attacks from affecting real-world LLM systems, where we focus on methods that limit the computational overhead to minimize the energy, and therefore environmental cost of such defences. These research
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part of the interview process. For more information regarding this position, you are welcome to contact: t.j.segers@utwente.nl. Screening is part of the selection process. About the department You will
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electrochemical and redox flow battery systems. The PhD candidate is part of a larger project, called “Redox Blend” with other universities and companies, within the National Growth Fund program Circular Batteries
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regarding this position, you are welcome to contact Dr. Gaurav Rattan via the following email address: g.rattan@utwente.nl Screening is part of the selection process. About the department The Department
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not be considered. Screening is part of the selection process. About the department The candidate will join the Design and Analysis of Communication Systems DACS group at the University of Twente
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research programme consists of 15 PhD projects which will contribute to the development of innovative methodologies, tools and design strategies that make AM a reliable, scalable and economically viable