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                this method to be used in forward and inverse scattering problems applicable to wafer metrology. This will involve developing the solver to be used for complex scattering geometries, elaborate illumination 
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                parameters, but for which solving the inverse problem is difficult. Based on this, we are developing a proof of physical work protocol that has the potential to significantly reduce global CO₂ emissions. As an 
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                : we are conducting research on physical one-way functions, reproducible physical processes that generate measurable outputs from input parameters, but for which solving the inverse problem is difficult 
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                : we are conducting research on physical one-way functions , reproducible physical processes that generate measurable outputs from input parameters, but for which solving the inverse problem is difficult 
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                30 Oct 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of electrical engineering Research Field Engineering » Electronic engineering Technology 
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                25 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire Carnot de Bourgogne Research Field Engineering » Materials engineering Physics » Acoustics Researcher 
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                into the physical world: we are conducting research on physical one-way functions, reproducible physical processes that generate measurable outputs from input parameters, but for which solving the inverse problem is 
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                project aims to explore techniques that could facilitate experts in the elicitation of priorities. One possible direction could be to use the technique of Inverse Reinforcement Learning (IRL) [2], [3]. IRL 
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                , this is often how the problem is approached. In this project, we aim to build a framework to perform a joint inversion of interior parameters with integrated geophysical observations. This framework will 
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                Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and