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Department's Website: EECS Department Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Artificial Intelligence and Computer Vision Laboratory Website: https://uark-aicv.github.io
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will be needed. Technical expertise in modern chromatography methodologies and techniques, good computer skills and data analysis experience are all desirable. The best candidates will have excellent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
department in 1964. We believe that computer science’s greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
department in 1964. We believe that computer science’s greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new
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problem-solving and analytical skills High degree of computer and internet literacy, including excellent working knowledge of MS Office Suite Superior oral and written communication skills; ability
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shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials requiring personal
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will
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analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering, electronics, biostatistics, mathematics, physics, biomedical engineering, or
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky