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management science journals. The ideal candidate will have: Familiarity with methodological foundations, for example: statistics and econometrics, causal inference, machine learning methods, experimental
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, statistical analysis of data, mathematical modeling, and communication of results, with the aim of guiding policy for climate change adaptation. Experience with theoretical and experimental methods
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machine learning methods for computational materials physics and chemistry. Projects include: 1. Scientific software engineering of machine learning potentials for large scale molecular dynamics. We
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and Research Associate(s) at each lab. We are looking for experience with any of the following methods: causal inference, econometrics, the design and analysis of experiences, and analysis of complex
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-Centric Machine Learning lab of Prof. David Alvarez-Melis at Harvard University, part of the ML Foundations group, has an opening for a postdoctoral position to work on novel methods for modular machine
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cutting-edge methods to visualize cellular organization. As one example, we are using time-resolved cryo-vitrification (both cryo-plunging and high-pressure freezing) to visualize the nanoscale dynamics
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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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experience includes laser ablation ICP-MS, trace element geochemistry, geochemical modeling, studies of young volcanic rocks, and sea-going field work. Candidates need to be able to participate in sea-going
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analysis, organizational skills, and strong interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions
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Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics
developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as