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the state—at Rutgers University–New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson
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approaches to analyze regional and local diversity of birds in forests and savannahs worldwide. We are keen on macroecology, biogeography, macroevolution, and modelling. We are seeking an ambitious
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model classifiers (PLS-DA, random forest, neural network, etc) towards unraveling materials structure-function relationships, and are familiar with optimization approaches such as genetic search, Bayesian
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carry out research on spatial processes, environmental drivers and adaptive management, addressing the following aims (WP3 in BioM): 1) develop spatial models for forest ecosystems that integrate
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
these responses are mediated by biodiversity and management across regional to global scales. The successful applicant will integrate ground-based observations (e.g., eddy covariance measurements, forest
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—at Rutgers University–New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital
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by thick pine and oak forests, providing a picturesque location for study and recreation. We also offer instructional sites at The University of Texas Health Science Center at Tyler and in Palestine
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of nonstandard neutrino and dark matter components as well as applications to Lyman-alpha forest also foreseen. The selected postdoc will also have the opportunity to join the Euclid Consortium within
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facilities are located throughout the state including New Brunswick, Piscataway, Newark, Scotch Plains, Somerset, Blackwood, and other locations. Clinical partners include Robert Wood Johnson University
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in partnership with Professors Pete Barry (Woods Hole Oceanographic Institute), Toby Fischer (University of New Mexico) and Jon Gluyas (University Durham) and funded by a joint grant from UK-NERC and