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biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations in order to propose new original
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. This project employs massive-scale genome sequencing, data that will enable a wide range of novel, independent projects. The project also involves a substantial theoretical component including algorithm
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states. You will also work within a multidisciplinary multi-institutional team involving specialists in theory, nonlinear electronic spectroscopy, organic synthesis, and materials characterization. Major
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to play a leading role in at least one of these two aims, as well as participate in the development of experiments to test the methods. The multi-disciplinary team in this project includes researchers from
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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Li (yang_li3@baylor.edu ) What You Will Do Design and create scenario-based traffic emissions inventories. Conduct WRF-Chem modeling. Assess model results using multi-platform observations. Analyze and
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the understanding of what works, for whom, and under which circumstances in the context of lifestyle behavior change. Behavior change is complex because of the many multi-level factors at play and often requires
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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University & Google DeepMind • A strong consortium of additional theorists and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
mission: (1) To strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration, increases sharing of knowledge, and identifies