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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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organoids Experience in gene therapy research Experience in fluorescence and confocal microscopy Processing and analysis using image‑analysis software Experience in research within cellular reprogramming More
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molecules, genes, individuals, species and their life conditions, evolution and interactions in the environment. The focus should be on patterns and processes that previously have been difficult to study, but
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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. Merits for this position: PhD acquired within three years of last application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context
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postdoc rules). - Strong experience in in vivo rodent experiments, with competence in at least one of: Stereotaxic surgery and viral/vector delivery, in vivo imaging (miniscope, 2P), optogenetics
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and