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review of past field campaigns, through interactions with project stakeholders) Participate in summer field work Conduct observationally based research into the urban boundary layer using “big data” (e.g
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for the development and implementation of innovative statistical and machine learning approaches for analysis of genetics and genomics data. We are particularly interested in applicants who have experience with methods
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: - Mentor graduate and undergraduate students. Develop new research: - Support or lead research proposals. Minimum Qualifications PhD in Electrical Engineering, Electrical and Computer Engineering, Materials
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. A Postdoctoral
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
AIMD simulations and develop machine learning methods to accelerate the design of materials applied to optoelectronic devices and quantum information. This position offers exciting opportunities
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skills Excellent scientific writing ability and good communication skills Knowledge of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific