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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators
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the ONRC forestry research scientist in field, in-person, and online situations 4.) assisting with the recruiting and training of ONRC interns who will collect spatial data that this position will process
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., CRISPR), plant transformation, and knock-out mutations to quantify effects on plant phenotypes. Learn statistical and molecular techniques such as single cell and spatial transcriptomics, and spatial
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America. Preferred qualifications: Experience in spatial epidemiology and mechanistic/statistical modeling of vector-borne diseases. Familiarity with advanced statistical modeling, mathematical modeling
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your PhD will be awarded from Wageningen University and you will become a member of the ‘Urban Systems
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will employ scattering theory to separate the effects of wave scattering and anelastic attenuation on seismic wave propagation. You will use state-of-the-art inversion techniques to image the spatial
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 2 months ago
the Research Fellow Statute (Law no. 40/2004, of August 18), available at https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179 , and the Universidade NOVA de Lisboa Research Fellowship
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python