808 algorithm-development "https:" "Simons Foundation" positions at Harvard University
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is interested in understanding the neural and algorithmic basis of sensory-guided behaviors in terrestrial animals. We have developed behavioral tasks in mice using stimuli and situations
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Develop collaborative relationships with faculty and researchers across Harvard schools and engage substantively with research communities at the Kempner Institute for the Study of Natural and Artificial
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: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum chemistry software (e.g. Quantum Espresso, PySCF, GPAW), fluency with electronic structure theory and
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Description Job Summary: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with
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intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge. Responsibilities Include: AI Tool Development and Implementation Design and implement efficient
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, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis, programming following best practices for reproducible research, presenting findings to academic
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differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic Qualifications Candidates are required to have a doctorate or terminal degree in Computer Science
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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lab is focused on revealing the molecular and environmental rules governing cell fate decisions in development and cell differentiation. We develop technologies to generate statistical data sets
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variety of cutting-edge research in time-domain astrophysics, including the development and implementation of machine learning, statistical and data-driven algorithms to study exotic transient phenomena