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collaborators in computational biology, machine learning, and imaging-based profiling. The position involves leading independent research projects at the interface of machine learning and biology, with a strong
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in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge expertise. In addition, Uppsala University has a highly developed innovation
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Lund University Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund
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genomics and Spatial Transcriptomics data analysis. The postdoctoral fellow will be based at KTH, Department of Gene technology, SciLifeLab (Science for Life Laboratory) Stockholm and will be supervised by
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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, and ERC Consolidator grant (DETOXPEST) and aims to establish a public, cross-species “pan-terminome” knowledge base of plant proteoforms and to uncover how conserved proteolytic processing
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Taheri Lab and the Lundberg Lab, funded by the Digital Futures (DF). The position is based at KTH Royal Institute of Technology and SciLifeLab (Science for Life Laboratory). KTH is Sweden’s largest
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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forward towards their goals within molecular life sciences. Competitive salary and benefits, including access to the Swedish social security system, to support work-life balance. Our Commitment
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. The workplace Sweden offers an excellent environment for postdoc researchers. Researchers are employed with full salary and comprehensive social benefits, including pension contributions, parental leave, and