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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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. Research topics include analysis and astrophysical interpretation of LIGO-Virgo-KAGRA data, forecasting and statistical methods development for next-generation gravitational-wave detectors, and
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. Qualifications: Successful candidate will have a Ph.D. in Philosophy, Religion, or a related field and must have less than three years of post-PhD research experience prior to anticipated start date. Applicants
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include: *Doctoral degree in economics or political science. *Academic experience in economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA
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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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models, programming, and quantitative methods. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel
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performance and continued funding; those hired at more senior ranks may have multi-year appointments. Candidates must have a PhD in Computer Science or a related field. For full consideration, we recommend
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Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems. Associated research and software engineering
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availability of funding. The anticipated start date for the position is June 1, 2025. Individuals with a strong theoretical background who expect to obtain a PhD in a related field (e.g., statistics
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satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Essential Qualifications: PhD in a relevant discipline. Interested applicants must apply online