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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 28 days ago
project include (but are not limited to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine
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-cell models with comparative genomics, genome editing, and neuroscience to connect evolutionary sequence changes to the functions of the brain and placenta. Our goal is to understand how genome evolution
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who is interested in generating new platforms to investigate the co-evolution of the the epidermal growth factor receptor ( EGFR ) and its ligand across Drosophila species. The successful candidate will
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probe checks, evaluating existing dPCR assays against accumulating sequence data to detect mismatches arising from pathogen evolution. Routine screening of sequencing data against a watch list of
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emerging infectious diseases. He/She will be working on studies focusing on virus-host interaction, pathogenic determinants, and/or virus evolution. He/She will be expected to independently lead research
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-system dynamics, including predictions about the time course of evidence and preference evolution. Design and analyze behavioral experiments that probe dynamic decision processes, including interference
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the evolution, cell biology, and virulence of bacterial pathogens, including Vibrio cholerae , enterohemorrhagic Escherichia coli , Shigella , Salmonella spp ., and Listeria monocytogenes . They take
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 8 hours ago
biology of gastric cancer immunology and evolution. Our investigator group, led by Drs Santosh Vardhana (tumor immunology), Sohrab Shah (computational oncology) and Vivian Strong (gastric cancer surgery