399 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at Princeton University
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project and to complete assignments in a satisfactory and timely manner. Must be able to read and interpret drawings, layouts, and develop materials lists. Must have the ability to perform mathematical
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purpose by using current knowledge of health and human development to guide responsive, high quality clinical, prevention, and consultation services. UHS’s values are Respect & Compassionate Care; Integrity
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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curriculum development will be a plus. Interested candidates should apply online at https://puwebp.princeton.edu/AcadHire/position/37862. Applications must include the following items: 1. Curriculum vitae
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responsible development projects in Latin America and the Caribbean with highly qualified and motivated recent college graduates pursuing year-long service fellowship opportunities throughout the region. PiLA
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) at Princeton is responsible for developing, expanding and maturing the University information security policy and strategy and draws on domain expertise, a capacity for vision and change management and
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The McBride Lab at Princeton University, which provides research at the interface of evolution, genetics, and neuroscience is looking for a Research Specialist to support research on the molecular
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Department, an innovative, collaborative, and vibrant research environment. Princeton University is in an idyllic college town halfway between New York City and Philadelphia, with convenient train access
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position for new projects to characterize synthesis processes and novel materials in several research thrusts: i) development of advanced manufacturing processes for low-cost battery cathode active materials
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until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus