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The Faculty of Engineering, Department Mechanica van materialen en constructies, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a
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, targets the conversion of intermittent electricity to platform chemicals and fuels making use of dynamically operated processes. This is a promising route to alleviate net congestion and make more effective
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, including physics-informed neural networks, neural operators, hybrid physics-ML approaches, and emerging foundation-model paradigms for scientific data. Scientific machine learning is increasingly important
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We are seeking a motivated and talented PhD student to work alongside our Digital Twins team within the Advanced Steel Research Centre at WMG, University of Warwick. Our Digital Twin team
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materials and experimental tasks, analyse behavioural data, apply computational modelling techniques, and write scientific articles that will form the basis of your dissertation. You will work closely with
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. bioengineering, chemistry, biomedical engineering, analytical chemistry. A research-oriented attitude. Competence to work in an interdisciplinary team and interested in collaborating with industrial partners
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, biochemistry, biophysics. Ability to work in an interdisciplinary team and interested in collaborating with industrial partners. Motivated to develop your teaching skills and coach students. Fluent in spoken and
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sciences and technology with social sciences and is often interdisciplinary. More than 300 people from over 30 countries work at the department, both in Uppsala and at Campus Gotland. Our six research
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understand, explain and advance society and the environment we live in. Your role The PhD student will work under the guidance of a professor on a research theme and will also contribute to education in a
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these insights into concrete, evaluated tools for HTA assessors. Your job You will be on the frontline of using and implementing GenAI in the cyclic HTA approach to medicines. Possible work topics include: Mapping