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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
focus on ensuring the project sponsor and larger scientific community will benefit from the work performed. Job Requirements REQUIRED: PhD in engineering, physics, computer science or closely related
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
. Description: Sensor systems based on high performance infrared (IR) detectors have made significant contributions to NASA’s Earth Science (e.g., observables related to Surface, Biology, and Geology) and
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multidisciplinary team, the candidate will work at the intersection of AI/ML, domain sciences, and high-performance computing. The role requires a strong foundation in LLMs and machine learning, along with
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Postdoctoral Researcher – AI-Augmented Decision Science Indiana University Bloomington Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering Position Overview
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Deadline 13 Feb 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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» Computer engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 15 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job
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postdoctoral position will be performed within the thematic group CNM2 of D4 department of ICGM, at the pôle Chimie Balard Recherche.The group has large experience in high pressure field and in synthesis of air
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nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational experience in simulating/implementing quantum algorithms
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Position Location: Palaiseau, Ile de France 91128, France [map ] Subject Areas: Physics / Electron Hydrodynamics , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational
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development. * Implementing computationally intensive algorithms on high-performance computational clusters. * Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target