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structure data to test existing algorithms and design improved methodologies for clinical applications. Purpose The Research Engineering Scientist Assistant will support research in AI for healthcare and drug
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Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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/directory/kenneth-dunton ) The research program associated with this postdoctoral position is specifically focused on a coast-wide survey of seagrass distribution along the Texas Gulf Coast. The State
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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Crustal Deformation and (2) Coastal Processes. We seek colleagues who creatively use theoretical, computational, observational and/or experimental approaches to address fundamental problems and processes
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computer skills with a variety of programs. Relevant education and experience may be substituted as appropriate. Preferred Qualifications Experience in mood disorder research and/or sponsored clinical trials
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collection, including cognitive assessments such as computer-based testing, questionnaires, and health measurements, as well as brain measures such as electroencephalography and near-infrared spectroscopy
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defined benefit retirement plan, with employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account
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. Required Qualifications · PhD in Geophysics · Experience with land seismic acquisition, DAS, and time-lapse monitoring · Proficient in computer programming · Extensive publication and presentation record