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Field
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large research project aiming to develop a new generation of computational imaging algorithms intended to deliver simultaneously precision, robustness, efficiency, and scalability of the image formation
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required. Required Education and Experience Appropriate PhD in a related field Preferred Qualifications PhD. in Animal Science, Neurobiology, Biology, or related fields Experience in cell culture Experience
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large geospatial datasets (e.g. gridded datasets of environmental variables covering large geographical areas, datasets of demographic information for administrative units) · Experience creating effective
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of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
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with observations from large surveys and optical/near-IR telescopes including SDSS-APOGEE, GALAH, GECKOS, and the upcoming 4MOST project. We encourage applications from all who have interests, skills
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer
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the Youth Sport, Recreation and Wellness Fund to follow a large and representative sample of middle school students over time. The project will investigate the childhood predictors of physical and mental well
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research scholar to work with Dr. Nikki Nielsen on projects focused on the circumgalactic medium of local galaxies up to cosmic noon. The growing CGM team primarily works with observations from large optical
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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organization and maintenance of a large clinical database Support analysis for scientific presentations and quality improvement projects Present outcome data to other clinicians, collaborating sites, and at