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) Contact information for at least two academic references Copy of the doctoral degree certificate
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of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s
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. Position description Construction industry is one of the biggest contributors to waste and carbon emission and this sector is at a crossroads. Unless major changes, the industry risks failing to meet the
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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, thermal dynamics, and charging strategies. Validate methods through simulation and collaboration with industrial partners (Volvo Group). Publish results in leading journals and present at international
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CV listing relevant academic degrees, previous employment, and a transcript of university courses and grades. A copy of your degree certificate or verified documentation confirming that the degree
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degrees, previous employment, and a transcript of university courses and grades. A copy of your degree certificate or verified documentation confirming that the degree requirements. Theses and/or other
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assessment methodologies, modelling and simulation, as well as knowledge and experience from the Swedish food system, are seen as valuable merits. Great emphasis is placed on personal qualities, such as the
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closely with a co-supervisor at the Division of Material and Computational Mechanics. The NEST-WISE project offers a vibrant collaborative environment and close interaction with academic and industrial
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD