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to emerging carbon dioxide removal techniques. To this end, distributed pelagic imaging techniques enable the sustained observation of aquatic life and its debris, comprehensively covering the earth’s water
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be distributed as open-source software to ensure reproducibility and transparency as well as supporting the extension of our approach to new domains. Required Qualifications: Doctoral degree Excellent
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may include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless research
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maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial for understanding fundamental biological mechanisms, but it
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, biomarkers distribution in blood or synovial fluid) as well as histological evaluation of multiple tissues (cartilage, bone, synovium, muscles), protein/gene expression analyses in isolated tissues (cartilage
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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production, consumption, and distribution shape synaptic transmission and short-term plasticity? Contribute to timely experimental execution, data collection, and rigorous data analysis. Report experimental
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for this cohort is the Future of Species Range Shifts. The program will include nine postdoctoral fellows distributed across the country, with one fellow based in each of the nine Regional CASCs . Each postdoctoral
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them in this position: distributed and cluster computing, with a specific focus on PySpark, working with large tabular data with python/R, basic principles of natural language processing and their