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Field
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metastatic disease. To tackle these questions, we use cutting-edge technologies, including spatial transcriptomics, single-cell multi-omics, tumor immunology, and in vivo genetically engineered mouse models
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execute multi-step synthetic routes from milligram to multi-gram scale. Develop new synthetic methods for the synthesis of antibiotic compounds. Design antibiotic compounds and evaluate their biological
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The Nuffield Department of Population Health (NDPH) contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. We
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and On-Farm Research Support - Collect and analyze field samples from animal farms and wastewater treatment units. Assist with setup and monitoring of pilot-scale or field-scale trials, such as solids
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operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems. The position potentially targets at one of the following three
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-seq/snRNA-seq and/or metabolomics) very good communication and organizational skills with ability to work to timelines, both independently and as part of a multi-disciplinary team very good
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale
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processes, including by depolymerization. The research is part of a large-scale, multi-disciplinary hub and, as such, the candidate will benefit from regular conferences, symposia, mentoring and industry
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
translational research. Our work bridges data science and oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and