16 developer-"https:"-"https:"-"https:"-"Lund-University" Postdoctoral positions in Sweden
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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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Description of the workplace The postdoctoral researcher will join the Protein Evolution research group, led by Gemma C. Atkinson, at the Department of Experimental Medical Science, Lund University
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Research Group at Karolinska Institutet investigates how the human central nervous system develops, how these programs are disrupted by injury and disease, and how they can be harnessed for regeneration and
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both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our
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program for Data-Driven Life Science (DDLS) . The DDLS program focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of AI-driven strategies/tools
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postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and
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both a learning environment and a social arena. Against the backdrop of increasing polarization recent policy developments concerning school safety and crime prevention Schools Against Crime (SOU 2024:14
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affiliated researchers across various projects. You will join a welcoming and intellectually curious research environment where postdoctoral researchers are encouraged to develop their own ideas, take projects
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for a project that aims to develop luminescent carbon dots for light-emitting applications. The position is full-time for two years, starting on November 1, 2026, or by agreement. The deadline
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structures. Development of textiles as test instruments. Textile characterisation and studies of actuation. To participate in clinical studies and analyse the outcome through biomarkers, pain estimation scales