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, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A
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Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
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related fields. Additional qualifications Experience with both numerical modeling and laboratory approaches related to soil biogeochemistry is desirable but not required. Application Requirements Document
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will benefit from exposure to diverse scientific and collaborative opportunities through the USC Institute for Addiction Science (https://ias.usc.edu ) and numerous collaborating schools and departments
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guidance from expert PET researchers and statistical support (from the Biostatistical Consulting Core). In addition, the candidate will have access to numerous internal funding mechanisms to obtain funding
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to climate neutrality of the power, industry and building sector. This involves empirical, theoretical and numerical methods. For the position, experience with questions relating to electricity market design
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the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
and microparticle-based antigen-specific immunotherapies for the prevention and reversal of T1D. The work is supported by numerous state-of-the-art Core facilities. Chapel Hill and the surrounding area
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and additive manufacturing of architected materials. Previous experience in experimental, numerical, and parametric design research and experience is a plus. The project involves entrepreneurial
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to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment