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seconds), 2) very compact, allowing a SBEC magnetometer to search for short-range monopole-dipole forces that are out of reach of other sensor technologies and 3) very clean, well-understood systems
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. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will involve both method
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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Now Accepting Applications for Postdoctoral Associate positions in Computer Science, Data Science, and Economics 2025 – 2026. Center for Algorithms, Data, and Market Design, Yale University
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linear mixed models, and biological network analysis. This may require development of new computer algorithms and/or construction of computational workflows on computer clusters. The types of multi-omics
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required. Required Qualifications: Expertise in one or more of the following areas to solve problems in computational epidemiology as they relate to HAIs: AI, algorithms, discrete optimization, data mining
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cancer epidemiology with a Ph.D. degree in biostatistics, operation research, epidemiology (with strong computation skills), or related fields and hands-on experience in algorithmic implementation and
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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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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as