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#:39540 Job Summary: How can we turn the vast and rapidly growing collections of publicly available biological data into reusable engines for discovery? And how do we build the software infrastructure
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, including calibrating hardware and software infrastructure for research, sensor data collection and analysis; validating and disseminating research protocols and tools; creating technology prototypes and
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Assistant position in AI, decision making, and risk. The selected candidate will join a vibrant community of faculty, staff, graduate and undergraduate students from social science and humanity programs in
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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This position is located at Arizona State University’s Downtown Phoenix campus and is a full time, benefits eligible, 12-month fiscal year appointment. The initial term is one year, with
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/03/10 04:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
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the position is filled. Early applications are encouraged. Inquiries can be directed to the Director of the CNS Lab—Thomas D. Parsons, PhD (Thomas.Parsons@ASU.edu), Grace Center Professor for Innovation in
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techniques, data analysis, and scientific communication. Required: PhD in chemistry, physics, biomedical engineering, or other related discipline. Past graduate or postdoctoral experience in spectroscopy and
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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer science