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Field
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knowledge of sensors, actuators, industrial control software, and data acquisition systems. Familiarity with industrial safety standards and electrical codes NFPA 70E and OSHA regulations. Willingness
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-Domaine Autonomous & Sensor Technology Core Responsibilities Attend program meetings as determined by Project Olympus leadership, this includes NSF I-Corps regional cohort meetings (fall), Lab to Market
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are internationally recognized in research areas including Biomechanics, Biomedical Sensors, Additive and Advanced Materials, Ceramic and Polymeric Composites, Sustainable Energy and Power Systems, Combustion
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. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or
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econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally intensive statistical analyses, summarizing
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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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Carlile Endowed Chair, two clinical faculty members, and five lecturer faculty members. The faculty are internationally recognized in research areas including Biomechanics, Biomedical Sensors, Additive and
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical