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Professor Rabin and others in formally drawing out the implications of theoretical models in both “behavioral” and “classical” economic theory. Particular emphasis will be put in psychologically-grounded
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that universities, companies, and venture capital firms don't fund because they view it as too risky. We prefer to use the word Create a Job Match for Similar Jobs About Harvard University Harvard University is
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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creativity who study one or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000
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analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
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to open-source code, reproducible research workflows, and, where possible, public tools or model artifacts. Basic Qualifications ● PhD (completed or near completion) in one of the following or a closely
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, spatiotemporal modeling, high-dimensional statistics. ● Proficiency in statistical programming (R and/or Python) and good practices for reproducible research. ● Experience working with large datasets and cloud
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a genetic model and limited work with human iPSC-derived cortical like neurons. We are particularly interested for this position in projects involving subcellular soma, growth cone, and synapse