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epidemiology, and AI-accelerated drug and therapeutics discovery. DS/AI-driven Natural, Physical, and Earth Sciences, including physics-informed machine learning, climate and environmental modeling, physics and
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position prepares for classes and fulfills a variety of technical instructional assignments, including conventional machine tool operation, blueprint reading/engineering drawings, precision measurement tools
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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well as at our military campuses which include Fort Liberty & Pope and Camp Lejeune. For more information about Campbell’s Second Chance Initiative, click here: https://aoe.campbell.edu/about/second-chance
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; competitive health, dental, and vision coverage; tuition benefits for classes at UK, and much more. To learn more about these exceptional benefits, please visit: https://hr.uky.edu/employment/exceptional
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eligible retirement contributions; competitive health, dental, and vision coverage; tuition benefits for classes at UK, and much more. To learn more about these exceptional benefits, please visit: https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We
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leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Senior
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analysis. Experience with machine learning. Basic understanding of immunology. Key personal characteristics You are enthusiastic and curious about scientific research. You like learning new
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, computational, and/or machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches to data science