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on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from
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molecular compounds that comprise phytonutrients using metabolomics, ionomics, genomics, and molecular biology. Conduct studies of plant growth in greenhouse and field conditions. Conduct wet-lab methods
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evidenced by application materials. Previous experience with modeling of electrochemical systems, as evidenced by application materials. Contact Information to Applicants Trung Van Nguyen, cptvn@ku.edu , 785
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collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
biodiversity trends, particularly in response to Earth system variability, land-use change, and other shifting environmental conditions and stressors. Integrating in situ data with remotely sensed observations
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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require the use of cell lines and mouse models to mechanistically determine how tumor-intrinsic and systemic metabolism impacts cancer therapy. The individual will also be expected to be excited and
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demonstrated by track record of prior publications and related accomplishments from doctoral studies. The project will require the use of cell lines and mouse models to mechanistically determine how tumor
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: D1. Skills in animal models Experience Essential: E1. Proven ability to deliver quality outputs (such as publications) in a timely and efficient manner. E2. Experience preparing data for publication
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using cellular and animal models, validation of the clinical relevance of these findings using multi-omics datasets in established human cohorts, and exploration of upcycling strategies to develop health