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College of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program
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models Strong quantitative, imaging, or computational analysis skills BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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Information Science and Engineering Department: ERIK | Center for Quantum Information Science and Engineering The Center for Quantum Information Science and Engineering (CQISE) is a University Center focused on Ohio
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to efficacy, safety, and value is essential. The successful candidate is expected to develop and lead independent research using advanced econometrics, predictive analytics, and machine learning, including
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Inflammation.” This program aims to train postdoctoral scientists for collaborative research careers in two inter-related topics: thrombosis and inflammation. There is increasing evidence of a direct
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g