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silicon sensors. The new detector will include more than 13,000 modules and will fully replace the current strip tracker, with an expected operational lifetime of 10 years. Position Summary: This role
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, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required.The position will involve developing models and algorithms for the evolution of inorganic
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Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
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the ability to controllably engineer diamond surfaces to enable future advanced applications of diamond electronic and quantum devices and sensors. Fundamental studies using highly controlled exposures
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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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the development of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability
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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 professional
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to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
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expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every
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, Python, Julia, and/or MATLAB Familiarity with machine learning methods and algorithmic modeling for large datasets Experience with LaTeX, Unix/Linux Evidence of outstanding academic achievement Familiarity