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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
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
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work will build on and extend an advanced in-house time-domain simulation tool for wheel–rail interaction and noise. The project is carried out in close collaboration with DB InfraGO, the German railway
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/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Comparative characterisation of structure and digestibility of plant-based proteins and
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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to study protein structure and function (e.g., X-ray crystallography, NMR, cryo-electron microscopy). Additionally, you will investigate how these proteins interact with each other and with various
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interactions. Radar aeroecology is the study of life in the air using radar technology, a powerful technology that enables us to in detail study animals in the air. Studying animals movements in the airspace is
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development in plant genetics and plant breeding. You enjoy working both independently and in a team, and have a good ability to structure your work. Place of work: Alnarp Forms for funding or employment
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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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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the