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Field
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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, potentially increasing of adverse birth outcomes. The post-doctoral fellow, supervised by Drs. Amir Sapkota and Michel Boudreaux will perform statistical analysis linking exposure wildfire related air pollution
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a strong background in high-performance computing or in numerical analysis. If you think that you have the requirements above, you should apply for this position. We offer a young, dynamic, and
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the graduate program in material sciences, Applied Physical Sciences has united numerous scientific entities on campus to further its mission of finding interdisciplinary solutions to real-world
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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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optimisation, distributed-parallel-GPU optimisation (e.g. pagmo2), Taylor-based numerical integration of ODEs (e.g. heyoka), differential algebra and high order automated differentiation (audi), quantum