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Department at Rutgers University, New Jersey. We study reproduction, specifically molecular mechanisms of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and
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of biological questions and experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and
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intervention trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic
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) analysis Mathematical modelling Microbiology Molecular biology We approach science with the view of physics, aiming to identify principles behind complex systems. We collaborate closely with engineers
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understanding the molecular basis of retinoid metabolism and signaling. Experience in animal models of lung injury, lung cell isolation, lung organoid cultures, immunofluorescent staining of tissues and cells
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Postdoctoral Researcher in Multimodal Machine Learning for Precision Cancer Medicine The Machine Learning in Biomedicine (MLBioMed) research group at the Institute for Molecular Medicine Finland
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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Summary Two postdoctoral fellow positions are immediately available in the laboratory of Dr. Shengyi (Iris) Sun, an assistant professor at the Center for Molecular Medicine and Genetics
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of research projects on human immunity against bacterial and viral infections using human challenge models. You will support the research of Post-Doctoral Scientists, whilst obtaining training in working
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supportive workplace Your activities and responsibilities: Conduct a translational research project in the field of tumor immunology Apply and further develop cellular and molecular biology methods Work with