661 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Pennsylvania State University in United States
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changing-look AGN/tidal disruption event/supernova host galaxy studies. Applicants with an interest in joint survey analysis methods, machine learning applications to survey data, and large-scale survey
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the security of ARL personnel, facilities, material, and information as an agile, efficient, and service-driven team. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members
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, office responsibilities. Military Aviation experience a plus but not necessary. Maximum 20 hours per week. We provide all training. BACKGROUND CHECKS/CLEARANCES Employment with the University will require
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. IT User Support positions perform analytical, technical, and administrative work in support of new and existing computer devices and workstations; diagnose and resolve problems in response to customer
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the security of ARL personnel, facilities, material, and information as an agile, efficient, and service-driven team. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members
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service areas. Operate rack, bottle, cage washing machine, autoclave, floor scrubber and washer, clothes washer and dryer. Euthanize small laboratory animals as required. Load, unload and store food, cages
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candidates with related experience are encouraged to apply. The successful candidate must be able to work independently in field and lab research environments, coordinate several projects simultaneously, learn
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user interfaces (GUIs), and human-machine interfaces (HMIs). This position reports to the EOE Division Head, works out of ARL’s Freeport, PA location, and may be filled as either a Research and
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filled at multiple levels depending on education and experience. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You Will: Design, build, operate, and
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representation and inference; machine learning; multi-agent systems; natural language processing; responsible, trustworthy, and explainable AI (RAI/XAI); and/or capstone/practicum courses connecting AI to real