22 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IBE-CNR" positions at Princeton University
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to these inspections. This position will be responsible for performing all campus Fire and Life Safety Systems code-related inspections, testing, maintenance, repairs and ensuring they are properly documented in
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Acquisition Regulation, Code of Federal Regulations, Federal circulars, and major agency policies and regulations Experience with research administration in an academic setting highly desirable Strong oral and
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, and algorithms; stay current through reading publications, reviewing existing code, and independent study. Lead the team in collaborating with researchers to ensure solutions meet research needs
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undergraduate research assistants • Coordinating participant recruitment in Princeton and Trenton, New Jersey, as well as online • Coding videos of parents and children across cultures and communities
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cleaning and maintenance duties Observe all New Jersey State Health Codes and Regulations Familiarity with food service procedures Capable of working quickly and efficiently during rush periods Ability
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accordance with sound engineering principles, PPPL standards, project requirements, and applicable codes and specifications, with a focus on quality, efficiency, and engineering excellence. Develop, maintain
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operational need Must have intermediate computer skills and knowledge of Microsoft Office Suite, POSS, and IMC among other programs. Must have knowledge of New Jersey Code of Criminal Justice and Criminal
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and OSHA Guidelines. Understand Power system relay protection and implement upgrades and modifications. Ability to interpret electrical construction documents and understand applicable codes. Strong
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business needs. Key tasks include requirement analysis, coding, debugging, creating documentation, and improving development processes. A remote work arrangement within the US may be considered
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computer science, engineering, sciences, or a related computational field is required. Solid coding skills and good experience with large AI models. Familiarity with GPU computing environments and ML frameworks and