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on developing ecosystem models for high-latitude ecosystems and to scale-up these spatially as well as temporally using state-of-the-art ecosystem models. Your profile The successful applicant must have obtained
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on developing ecosystem models for high-latitude ecosystems and to scale-up these spatially as well as temporally using state-of-the-art ecosystem models. Your profile The successful applicant must have obtained
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Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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Nephrology. Please explore our website to learn more about our state-of-the-art clinical, educational and research programs, and distinguished faculty members. (https://medschool.cuanschutz.edu/renal ) Dr
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Texas communities become more resilient over the longer term. To learn more, visit https://idrt.tamug.edu What We Want We seek a highly skilled and collaborative Data Scientist to lead the development and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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phenomena that operate on a cellular scale. Faculty research employs a combination of advanced microscopy, genetic analysis, and molecular characterization to study the temporal and spatial mechanisms
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), and network analyses Mathematical or statistical modeling of temporal and spatial variability to predict microbial effects in native plant and agricultural systems Development of ecological theory
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Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals are pursued by
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
for high-resolution (e.g. gigapixel) imaging, or high-dimensional statistical approaches for analyzing spatial transcriptomic data. This role involves close collaboration with an interdisciplinary team