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Are you experienced in integrating field data and remote sensing data with numerical modelling to quantify interactions within ecosystems? Then apply to the open position as associate professor in
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-of-the-art laboratories and genetic research capabilities, including a 12,000 processor computer cluster dedicated to genetic analysis, a biorepository containing tens of thousands of samples collected in
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput
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Job Description The Virginia Tech Academy of Data Science (ADS) (https://data.science.vt.edu) invites applications for two Professor of Practice faculty positions at the rank of associate or full
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. Additionally, members of the SPI are productive researchers with numerous national and foundational grants. The postdoctoral fellow will be encouraged to partner with a research mentor to advance the knowledge
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Consortium and host extensive supercomputing resources, including the "Cosmology Machine", some of which is part of the DiRAC national supercomputing facility. Further information may be found at http
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of the previous period, to complete the PhD studies. About SPACER SPACER aims to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow batteries (RFB
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education, numerical analysis, and probability. The department offers BS, MS, and PhD degrees and offers undergraduate minors in mathematics, actuarial sciences, and mathematical sciences. The Department has
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The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included. Fully Funded PhD Research Studentship Project
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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