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Field
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affected by environmental and operational conditions. This project aims to tackle these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data
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physics-informed neural networks (PINNs). However, these approaches are still in their early stages of development and have yet to demonstrate their effectiveness for complex real engineering problems
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collaboration with the Protein Engineering research group (https://merkxlab.nl/ ) and the Institute for Complex Molecular Systems (www.tue.nl/icms ). The research group initiated and organizes the international
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scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods
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valued: nonlinear dynamics, condensed-matter physics, and stochastic processes. The ideal candidate is an experimentalist who enjoys not only setting up and performing complex experiments, but also
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process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR
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process. About us The Southern Swedish Forest Research Centre is an interdisciplinary department conducting research and teaching across a broad range of subjects related to sustainable forest management
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into ingredients or finished products for human consumption. By leveraging expertise in biochemistry, physico-chemistry, process engineering, physics, technology, and microbiology, its goal is to contribute to safe
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NTNU and the application process here. About the position The position is for three years with the possibility of up to one-year extension for teaching assistant duties, and is part of the Norwegian
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electromagnetism or computational physics) - or a closely related discipline. A driving license is essential since geophysical fieldwork is required in this project. Experience in geophysical fieldwork is an