6 computational-fluid-dynamics Postdoctoral positions at University of Twente in Netherlands
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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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for modeling temporal dynamics in longitudinal imaging and omics data. You will also develop explainable AI (XAI) techniques to link imaging features and molecular markers to clinically meaningful outcomes
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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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will include qualitative interviews and scenario workshops. The position is embedded in the HySuccess project that is part of the national research and innovation programme Groenvermogen. In addition
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Vacancies Postdoctoral researcher in DECIDE project – Democratizing AI: Empowering Citizens through Transparent Decision-making Key takeaways The department of philosophy of the University of Twente (UT) seeks to appoint a Postdoctoral researcher (4 years) to join the DECIDE project –...