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demands that exceed the physical and cognitive capacity of workers and their physical work demands may reflect as poor work ability and compromised health and safety at the workplace. Particularly work
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high-impact events and high-probability events with long-term impacts. It focuses on the development of state-of-the-art infrastructural surrogate models using physics-informed and interpretable ML
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
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on the calibration of ordinary differential equations (ODEs) under an appropriate data generation process. The type of data we will consider can be interpreted either as a count of realisations of a random variable at
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(Enrolment open from mid-June) Project description: Physical inactivity increases risk of cancer, cardiovascular disease, obesity and depression, and costs the UK £7.4 billion annually. Women are less likely
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programme of study: PhD in Psychology Mode of study: Full-time Project description: Physical inactivity increases risk of cancer, cardiovascular disease, obesity and depression, and costs the UK £7.4 billion
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15 May 2024 Job Information Organisation/Company University of Twente (UT) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 15 Jun 2024
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6 May 2024 Job Information Organisation/Company OERLIKON Research Field Engineering » Computer engineering Physics » Surface physics Researcher Profile First Stage Researcher (R1) Country France
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this will be done on the basis of the more simple Solution-Diffusion model and extended to more complex models based on ion and fluid transport phenomena and physical chemistry (Poisson-Nernst-Planck and
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, comprising a robotic packing setup and a digital twin (DT), such that packing simulation models can be plugged in to be tested, verified and corrected. The physical twin is a simple setup (consisting of a