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of data reduction methods on scientific outcomes and data quality. Contribute to community guidelines, best practices and knowledge resources related to scientific data reduction, compression and FAIR
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. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation, membranes
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of: Identifying new biological processes responsible for cognitive decline, fragility, and aging, using omics-based approaches. Analyzing and comparing data against studies published by other research groups
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at UiO can be found here. We hope you will apply for the position with us. We offer Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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related field. - PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. •Strong background and knowledge in organoid
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of Technology of Compiègne within the BMBI laboratory (CNRS UMR 7338) and, more specifically, within the BioFab research area, whose objectives are to contribute fundamental knowledge to tissue engineering and to
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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animal models for hematopoiesis Experience in high-throughput data analysis, such as single cell RNA sequencing Knowledge in R and foundations of statistics Experience with CRISPR/Cas9 (or similar) genome
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fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field