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of picocyanobacterial lanthipeptides in marine ecosystems Massachusetts Institute of Technology, laboratory of Sallie W. Chisholm Kevin Archibald, Ph.D. Modeling global evolution of marine mixotroph populations driven by
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networks in order to enhance fog net technology. The planned work is experimental and will be conducted in our lab facilities, also incorporating theoretical models of complex flow. Fieldwork is planned in
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apply advanced computational tools and reproducible workflows to interrogate large-scale, liquid chromatography–mass spectrometry (LC–MS)-based comparative metabolomics datasets spanning a range of model
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ecological research. About Us The Faculty of Science and Engineering is a young and dynamic faculty driven by the spirit of discovery. Here we nurture the next generation of science and technology innovators
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or protein structural data analysis is highly preferred. Background with pharmacology, cell therapy or antibody engineering is also desired. · Previous experience in working with animal models
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Sufficient Statistics” . This position is placed at Integreat - Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at
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that are aligned with the University’s research focus areas. You will embed your research expertise into the life of the School through the development of high-quality, productivity-driven research networks across
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models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
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science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data