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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
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performance. For additional information regarding the PI, associated research, and project institutions, see: http://gonetowar.com https://ghsm.hms.harvard.edu/person/faculty/joseph-gone http
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(including in Mississippi, Kansas, South Carolina and Massachusetts). Their work includes both primary and secondary data analysis and bridges the fields of sociology, epidemiology, economics and public health
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Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics
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Salary Range This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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the following: doctoral-level degree in public health, social sciences, or a related discipline proof of successfully defending dissertation strong research skills, including data collection, advanced analytical
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about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/ . Contact Information Hassan Dawood Contact Email hdawood@hsph.harvard.edu Salary Range $75,000/year Minimum Number of References
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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contribute to overall lab operations and a collaborative environment. Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined