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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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, GemNEt, eSEN…..) for accurately predicting Material properties (especially adsorption properties). Experience with ML models applied to materials science alongside background in AI-generative diffusion
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Education and Experience A Ph.D. in Aerospace Engineering, Mechanical Engineering, or a related field is required. The desired candidate should be familiar with optical diagnostics as applied to reacting and
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interests overlap with or complement our work in theoretical and computational general relativity, quantum field theory in curved spacetime and background electromagnetic fields, radio and optical
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Text-to-Video Generation Models Supervision : Dr Stéphane Lathuilière (INRIA-UGA) Funding : BPI contract Contexte : Recent advancements in generative AI, and in particular diffusion models [1,2], have
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Astronomy is home to internationally leading research in applied physics, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer
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examining the impact of AI interaction on social cognition, emotional regulation, group collaboration, and collaborative learning using eye-tracking, physiology, EEG, and novel computational measures
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Number req26413 Department James C Wyant Coll Optical Sci Department Website Link https://optics.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights Advance groundbreaking
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, including thin-film deposition (e.g., magnetron sputtering), electron-beam or optical lithography, and dry/wet etching Familiarity with microwave resonator design, characterization, and RF/microwave
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for original or collaborative scholarship Scientific writing skills demonstrated through peer-reviewed publications Ability to acquire accurate, reproducible data Critical eye towards consistency