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Field
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sampling; selection, acquiring, reformatting, and sampling gridded environmental data for use as model covariates; creating species density surface models, typically in R with mgcv-based generalized additive
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engineering, or a closely related field, in hand by the date of appointment. ● Research experience performing first-principles electronic structure or density functional theory calculations using
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, the work proposed for this postdoctoral position aims to understand how intraspecific and interspecific interactions combine to shape the dynamics of metacommunities and ecosystems, via the processes
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
sensorimotor function disrupted by neurological disorders and injuries. The lab uses high-density neurophysiology (Neuropixels), high-density spinal stimulation, brain-spine interfaces, computational modeling
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for candidates with interest and experience with high density recording approaches, building on recent work in our lab establishing acute and semi-chronic Neuropixel implantation approaches targeting basal ganglia
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 20 hours ago
wavelengths enables the derivation of the fractional surface coverage of coherent rock. Thermal modeling can also reveal spatial variability in the density of the fine-grained regolith. These physical
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materials, organic solids, molecular materials, or other solid-state systems. Experience with computational approaches relevant to structural characterization, including density functional theory (DFT
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performance. This postdoctoral project aims to investigate the potential of newly developed high-temperature superconducting materials — such as ZrN, HfN, and NbTiN — produced by ICPMS-CNT and CEA-LETI, as
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spectroscopy is highly desirable, as is NV magnetometry of superconducting or magnetic materials. Solid understanding of noise physics and quantum noise spectroscopy: power spectral densities, filter-function
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and