14 development-"https:"-"https:"-"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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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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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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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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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
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Northern Fennoscandia. The successful candidate will be responsible for laboratory work in this project, further developing the method for practical application to contexts in ecology and conservation. Main
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constellation of SciLifeLab researchers and infrastructure units. This position is embedded in Avlant Nilsson’s research group at Karolinska Institutet and SciLifeLab. Our lab develops deep learning models