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career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data. The ideal candidate should be proficient with both laboratory
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Associate with background on AI and machine learning for wireless networking and communications. The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless
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, x-ray generator and detector. -Experience with GEANT4 or similar Monte Carlo modeling toolkit. Experience with implementing computational neural network (CNN) architecture. Experience in image
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-native systems. Grant Writing: Contribute to the development of research proposals and grant applications to secure funding for ongoing and future research endeavors. Collaboration and Networking
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will lead research at the SECA flux tower network (Semiarid ECohydrological Array), which includes eddy covariance flux tower sites – one shrubland, two grasslands, one savanna, and a mixed conifer site
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the regional networks and dense seismic arrays. Minimum Qualifications Candidates should hold a Ph.D. in geophysics or a related field at the time of appointment. Preferred Qualifications Previous experience in
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manufacturing. Experience with additive manufacturing or conventional manufacturing processes. Familiarity with geometry processing libraries and CAD/mesh data representations. Background in optimization methods