20 parallel-and-distributed-computing positions at University of Twente in Netherlands
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Vacancies PhD position on Sustainable Mobile Networks Key takeaways Mobile networks, as a key component of digital connectivity and computing infrastructures, play a crucial role in modern life
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Circularity
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terms of technologies, infrastructures, (geo)spatial distribution, scale and related investment needs matters for how and which stakeholders are affected, who gains or loses power, and how benefits and
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MSc courses in Civil Engineering, and operates across the three main themes of Construction, Transport and Water. The Department has around 50 academics distributed over nine Chairs. About the
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that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and neural control pathways (e.g., CPG-like and
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at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente in Enschede, The Netherlands, and several experienced supervisors (Dr. Ray Hueting, PE group and Prof
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. The intended starting date is around April 1, 2026. Screening is part of the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings