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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science
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, and ensure continuous enhancement of safety culture - Maintain lab safety regarding large vacuum vessels and high voltage - Maintain cryogenic systems - Safe handling of high pressure gas system and
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of such efforts. Responsibilities will include activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring
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granular exploration of the sequence of development, investment decision making, financing, and construction activities that are associated with the disciplined allocation of capital to large-scale
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construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development
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requires extensive field work to inspect/review large construction project activities, troubleshoot electrical equipment issues, manage equipment maintenance and repairs, and safely perform switching on high
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create analytic datasets and perform complex statistical analyses of data, using advanced econometric and other statistical methods. The ability to write computer programs to manipulate information, devise
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materials as assigned. Duties include moving and transferring items using manual and powered material-handling equipment such as flat dollies, appliance dollies, forklifts, and large trucks. The incumbent
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(e.g. information security, records retention, business continuation). Management of expense policies, processes, and compliance Ensures overall compliance with expense management processes; partners