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recognized for its strong theoretical foundation, practical impact, and close collaborations with academic and industrial partners. Project overview This PhD project is part of the interdisciplinary WASP-WISE
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commitment to rigorous, open, and impactful science. The project is part of the WISE and WASP initiatives, which aim to position Sweden at the forefront of materials science and AI research. The PhD student
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be supervised by researchers at SLU and collaborate with plant breeders at Lantmännen. Through your doctoral education, you will develop new knowledge about genetic factors that affect earliness traits
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within the development and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials
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on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
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. The planned dissertation work focuses on how employees within the municipal company Vakin work with data management, and how organizational structures affect the possibility of creating a data-driven culture
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studies on carotid atherosclerosis, offering unprecedented opportunities for both scientific and clinical impact. The project setting and DDLS Research School Data-driven life science (DDLS) uses data