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algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections
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that incorporate photogrammetric error theory, geodetic principles, and spatial analysis methodologies. Develop algorithms and processing chains that assess data quality through metrics such as vertical accuracy
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 23 minutes ago
the LabVIEW programs and Python algorithms that run those systems. Develop, review, and update standard operating procedures for Chase Lab equipment and facilities. Develop effective policies for shared use
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primarily responsible for talking to biological neurons in vitro and training them to do different tasks. You will research "how" and "why" neurons process information, make decisions, and how to influence
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limitations that cannot be overcome with bigger models and larger datasets. A critical issue is the embedding of hierarchies, for which a different geometry is better suited, namely hyperbolic geometry. Seminal
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in crops, (2) how different radar polarisations (e.g. VV, VH, cross-pol) affect sensitivity to crop growth and condition, and (3) how to disentangle the effects of soil moisture variations from
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collaboration with other CEA teams, notably ; * Parallel and cluster computing environment and efficient LP/MILP algorithms for our large-scale models ; * Data structuring and storage solutions for model input
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analysis has not yet been conducted. This leaves stakeholders unable to statistically and systematically assess the quality of official network maps. Could this be done differently? Is it possible
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to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track mutations in evolving populations
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for clinicians to make a meaningful difference in patient care. This research specialist will perform informatics research to develop computational tools and analyses related to personalized oncology care