12 evolution-"https:"-"https:"-"https:"-"https:"-"Lund-University" Postdoctoral positions in Sweden
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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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cell states and cell fate. Current directions include spinal cord development and regeneration, stem cell responses to spinal cord injury, neural stem cell transplantation, CNS organoids, 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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research environment that promotes cross-sectoral encounters and scientific collaborations, actively striving to address current societal challenges through knowledge development and education. We serve as a
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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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, Infrastructure and Cybersecurity, and Graphic Design and Web Development. We also offer a popular master’s programme in Cybersecurity. For more information, visit Department of Computer Science and Informatics
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for international peer-reviewed journals. You will work with statistics, data processing, and/or bioinformatics to investigate how genetic and lifestyle factors interact in the development of Parkinson’s disease and
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development of a digital HIT module • Adaptation and implementation of exercise protocols for both home- and gym-based contexts • Data collection, evaluation, and refinement of implementation strategies
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of the position is method development. We are seeking a postdoctoral researcher to develop next-generation AI models of cellular dynamics, with a focus on scalable neural network architectures that represent