46 machining "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Princeton University
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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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Sciences Department. The successful candidate will establish and solicit long-term funding for a program focused on (a) foundational research in Artificial Intelligence and Machine Learning (AI/ML), and (b
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a small, pre-publication, book workshop; and a research fund of $4,000 per year. The program will also provide shared office space, and a laptop computer. Further information can be found at https
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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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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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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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to the northern border area with two officers who fought on the terrain in two different battles Familiarization training with IDF small arms and tour of officer training program Visit to the Latrun military museum
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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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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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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