10 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at University of Twente
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contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid
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of reliable and robust deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners
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-master design program being part of the program Business Information Technology. For more information on the BIT EngD program, see https://www.utwente.nl/en/education/tgs/interested-in/engd/programmes
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10-100 nm would be required, varying in absolute value over the surface of the wafer. An elegant method to correct wafer position is to include an adaptive element into the wafer stage, which allows
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importance. Acoustics-based diagnosis, using an array of microphones, is a promising method to identify faults, as sensing on the moving components in these high tech systems is not possible. The challenge is
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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
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Key takeaways To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave
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Vacancies Post-doc research position “Magnetron Sputtering of Piezoelectric Thin Films” Key takeaways The XUV Optics Group at Twente has started a new multidisciplinary research program on