187 parallel-computing-numerical-methods-"Multiple" Fellowship positions at Harvard University
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enthusiastic Research Fellow to help in the development and application of novel 3D bioprinting methods for disease modeling and therapeutic tissues. The ideal candidate will report to the Principal Investigator
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the Senior Director of Labs (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our
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early career (untenured) scholars working on any topics in Jewish philosophy — ancient, medieval, or modern. Preference will be given to scholars whose work conforms to standard methods of rational
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experiments, large-scale data analysis, and computational methods to advance our understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and
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. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling, semantic change, or related techniques. Broad interest in cultural evolution, cognitive
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on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with the possibility of extension. For more details on our research and recent publications
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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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environmental and agricultural economics topics and methods. Faculty mentors for this program will include Ishan Nath , Anna Russo , Wolfram Schlenker , and Charles Taylor . An important goal of the fellowship is
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computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position