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searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs
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experience to maintain breeding records and other documents preferred. Ability to work in a pathogen-free environment using established procedures. Preferred qualifications: Vertebrate animal husbandry
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machine learning techniques Work with structured data and drive innovation in unstructured data architecture and analysis Work with statistical programming language, like R or Python, and database querying
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Clean, synthesize, and analyze data. Produce empirical analysis and more sophisticated statistical models (i.e., machine learning, neural nets, LLMs). Prepare results and design figures for reports and
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also provide shared office space, and a laptop computer. Further information can be found at https://piirs.princeton.edu/funding-fellowships/piirs-postdoctoral-fellows . This position is subject to the
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assignment. Qualifications Education and Experience: Associate degree, technical certification, military training, or equivalent combination of education, training, and experience in Electrical Engineering
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the application of statistics and machine learning in social science. The position requires no teaching, though teaching opportunities may be provided if requested. When teaching, successful candidates will carry
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researchers Background in sensing technologies, computer vision, or perception Foundational knowledge of machine learning and data-driven methods Experience with robotic fabrication, custom tools, or end
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: 285516906 ***REVISED*** Postdoctoral Research Associate Location: Princeton, NJ Salary Range or Pay Grade: 65,000 Description The Department of Electrical and Computer Engineering invites applications
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spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational methods to discover unknown metabolites that have strong associations to experimental