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Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
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Details Title HMS - Postdoctoral Fellow in Health Care Policy - Statistical Methods School Harvard Medical School Department/Area Department of Health Care Policy Position Description The Department
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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conference each spring, and an organized faculty mentorship component. Residency at the Warren Center for the term of the appointment is therefore required. Fellows receive a salary and benefits.
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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postdoctoral fellow to explore new methods for embodied intelligence in soft and reconfigurable robots. Basic Qualifications Doctoral Degree in Electrical Engineering, Mechanical Engineering, Bioengineering
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu