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their appointment in a Harvard department of their choosing, but otherwise are expected to conduct independent research. They may not take courses for credit or teach more than one course per year, and they
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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on its tradition of excellence to train future leaders in the field. Housed within the Department of Social and Behavioral Sciences, our Center provides academic, research, and service-learning
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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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or other investigators interested in learning about research at the Center or partnering with the Center. Assist with course development at Harvard Chan and/or in ExecEd, HarvardX, or short courses. Aid in
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and unrealistic implications of models in areas such as game theory, choice under uncertainty, belief updating, social learning, etc. Per the list of key responsibilities and qualifications below
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics
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to prioritize work and coordinate research protocols with lab members Excellent attention to detail and organization skills Interest in learning and strengthening existing skillsets Special Instructions We highly
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beyond biochemistry) or in chemical computation. Responsibilities: 1. Conduct experimental or computer modeling/phenomenology research on any of the following: (1) Polymer Chemistry and Self-assembly (e.g
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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based