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, we conduct research on populations, communities andecosystems. We generate knowledge on how land use and climate affects animals, plants,nutrient cycling and greenhouse gas balance, and develop
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implementation is advantageous (especially if in the context of protein structure) Experience with structural biology and/or molecular dynamics is advantageous Publicly available code is advantageous Experience
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research with a focus on interactions between plants and microorganisms in forests and agriculture. Central questions concern the population biology and community structure of microorganisms, their functions
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construction. Information about the research environment The PhD student will join the research environment Architecture, Media, and Material Practice (AMMP) at the Department of Architecture and Civil
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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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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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structured SPE data Develop ML models to predict key polymer properties relevant to battery performance Create generative models for the inverse design of novel SPE candidates within the targeted chemical
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project aims at improving existing methods and exploring new ways to efficiently and systematically model and simulate all aspects of CVD processes. The basis for this will be Computational Fluid Dynamics
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and