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Field
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are united in our efforts to understand, explain and improve our world and the human condition. Centre for Mathematical Sciences at Lund University, Faculty of Engineering invites applications for a position
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. The group conducts high‑technology medical research focused on immunology, infection, and cancer, and consists of a mix of doctoral students, postdocs, and technical and administrative staff. Within
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce
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researchers and doctoral students nationally and internationally to develop knowledge about how AI and digital technology are changing education, learning, and professions. The focus is on how teacher educators
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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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students, colleagues and the surrounding society. As teaching takes place both on campus and in hybrid formats, we expect you to have experience and confidence in handling digital technology. Those qualified
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A postdoctoral position is available for highly motivated candidates with a background in Materials Science and Engineering or equivalent. The Department of Materials and Manufacturing is a vibrant
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theories and concepts from fields such as political ecology, actor-network theory, Science and Technology Studies, and critical agri-food studies. Demonstrated fieldwork experience, including strong
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for Mathematical Sciences. The Centre for Mathematical Sciences is a joint institution for the Faculty of Engineering (LTH) and the Faculty of Science (N) at Lund University, bringing together all mathematical
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep