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Dortmund, we invite applications for a Scientist / Postdoc (m/f/d): Preclinical Metabolomics You will be responsible for Studying the development and metabolism of lymph nodes through melanoma metastasis
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Prof. Dr. Anja-Verena Mudring as a postdoc in the field of synthesis and characterization of advanced solid materials. Expected start date and duration of employment This is a 2.5–year (30 months
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
of the university hospitals in Germany. The group of Prof. Dr. med. Kaan Boztug at the Clinic of Pediatric Immunology and Rheumatology (Centre of Pediatric, University Hospital Bonn) offers a Postdoc position
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motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity. HLA class II antigen presentation form the cornerstone of T-helper cell immunogenicity. Over the last
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neuroscience, as well as data and decision sciences. Human Technopole is looking for a Postdoc in Soskic Research Group part of the Genomics Research Centre . Soskic Group studies molecular mechanisms
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to emerging carbon dioxide removal techniques. To this end, distributed pelagic imaging techniques enable the sustained observation of aquatic life and its debris, comprehensively covering the earth’s water
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The Population Biology Group at the Department of Biology, University of Southern Denmark (SDU), invites applications for a 2-year position as a Postdoc in Woodland Phenology and Climate Change
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Fudan University is globally recognized for its excellence in teaching and research, consistently ranked among the world’s top universities (QS: 39, THE: 36). The International Institute for Intelligent Nanorobots and Nanosystems (IIINN) is an independent research institute at Fudan University,...
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for competitive fellowships during their first year with us. The ideal candidate will be recruited by summer 2025. We are particularly seeking postdoc candidates who have recently completed their PhD with a
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune