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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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, certifications, Licensure) Demonstrated record of publishing research in quality journals. Expertise in coding. Experience with machine learning and image analysis. Strong interest in neuroscience, specifically
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applications for a postdoctoral fellowship to work on projects aimed at advancing health equity through the utilization of national datasets to evaluate chronic disease profiles. Education and Experience: PhD in
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simulation tools for testing and optimizing optimal integration of advanced manufacturing technologies into construction processes. Utilize machine learning-powered predictive analysis tools to identify
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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, behavioral and communication science, computer science, data science and machine learning. Successful candidates will work on an NSF-funded project on digital advertising led by Dr. Erika Franklin Fowler
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Location of Vacancy Columbia, SC Part/Full Time Full Time Hours per Week 40 Work Schedule Generally Monday – Friday 8am-5pm, Schedule may be adjusted due to patient volume. Type of Staff Position Staff
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.) Functional Area 2: Data Analysis Percent Effort: 30% Job Duties Build species distribution models for focal SGCN’s to inform research and conservation strategies. Use machine/deep learning approaches
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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Posting Title Postdoctoral Researcher – Nondestructive Testing for In-line Quality Monitoring of High-volume, Roll-to-roll Fabrication Processes . Location CO - Golden . Position Type Postdoc (Fixed