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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 21 hours ago
Position Information General Information Position Number POST40 Working Title Post-Doctoral Fellow-Machine Learning in Thermal-fluid Sciences Division Academic Affairs Department College
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. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Both Studies: Attend weekly grant administration meetings. Oversee
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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to maintain the security and integrity of the infrastructure related to this role. Knowledge, Skills and Abilities Ability to acquire accurate, reproducible data. Critical eye towards consistency
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will include processing and analysis of neurophysiology data, developing stimulation protocols, presenting at conferences, and publishing scientific manuscripts. The postdoc may also supervise
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and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will conduct comprehensive supply chain mapping, modeling, and analysis—integrating
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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/modelers, and data scientists Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Materials Science, Chemical Engineering, Chemistry, or a closely related field
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics