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Research Associate, Cellular and Molecular Medicine Posting Number req27032 Department Cellular & Molecular Medicine Department Website Link https://cmm.arizona.edu/ Location Tucson Campus Address 1501 N
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Application deadline: 27. August 2026. The postdoc position is for 5 years and it is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The research is part of the ERC project on CrypticBenefits and
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significant experience and expertise in air-free synthetic methods (e.g., Schlenk and glovebox techniques), crystal growth and analysis using single-crystal X-ray diffraction, and spectroscopic characterization
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of single-cell analysis methods to investigate quiescence at individual cell and population levels. Where to apply E-mail [email protected] Requirements Research FieldBiological
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and physico-chemists interested in molecular structures, working on their design, synthesis, characterization, reactivity and analysis in various environments. The expertise of the Institute is based
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zooarchaeology. • Demonstrable research experience in the prehistory of the La Garrotxa volcanic region, particularly in relation to Neolithisation processes. • Proven expertise in the zooarchaeological analysis
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the human musculoskeletal system, or experience providing engineering, hardware, statistical, or algorithmic support for such research (e.g., in biomechanics, biomedical signal processing, analysis of data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
biology, bioinformatics and multi-omics analysis Preferred Qualifications, Competencies, and Experience A strong background with Next Generation Sequencing data analysis is preferred. Special Physical
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications