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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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circuit design, the development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and
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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer
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language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and alignment. AI Postdoctoral Research Fellows will be appointed through the Princeton
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working with threaded joints, flanged joints and associated sealing, compression fittings, clamped joints, and system instrumentation such as pressure gauges, temperature gauges, vacuum gauges, level probes
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and implementing comprehensive maintenance programs for mechanical utility systems is required. Experience with mechanical utility systems such as vacuum, compressed gases, or SF6 is beneficial
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working with threaded joints, flanged joints and associated sealing, compression fittings, clamped joints, and system instrumentation such as pressure gauges, temperature gauges, vacuum gauges, level probes
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specialist, create, collect, and curate content that promotes featured news and events, and recommend images and art. manage editorial flow and content for all assets, including the Annual Report; manage and
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spectroscopic and imaging techniques for UHV surface science experiments and methods. Additional expertise in plasma, plasma-materials interactions, and/or ALE is of significant value. Experience with the design
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facility will house roughly a dozen advanced light microscopes, with a particular focus on light microscopy approaches for both imaging and active interfacing with living cells and organisms. The shared