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, United States of America [map ] Subject Areas: Physics Materials Science Chemistry Material Science and Engineering Appl Deadline: 2026/02/19 04:59 AM** (posted 2026/01/27 05:00 AM, listed until 2026/02/21 04:59 AM
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to work at the intersection of physics, artificial intelligence, and research software engineering, and is eager to contribute to the team effort of developing a robust, transparent, and sustainable
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the Foundation for Science and Technology (FCT), under the following conditions: Scientific Area: Mathematics, Statistics and Probability Recipient category: Master’s degree holders enrolled in degree-conferring
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: Monday - Friday 8:00am to 5:00pm Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under
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be found at https://www.iit.edu/applied-math . Illinois Tech is a private Ph.D.-granting research university with world- renowned programs in engineering, architecture, the sciences, humanities
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
. Description: This opportunity involves research and development activities in the following technology areas: 1. Chip-scale stable laser systems using MEMS and nanophotonic technologies including but not
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impact with your research? Do you enjoy technical projects involving optics, electronics, and software? Are you eager to join a startup and grow it to a successful company with real world impact? The
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
counter-example guided planning algorithms for mission and epistemic objectives. Integrate multi-modal agentic AI systems into an orchestration framework. Deliver software artefacts and demonstrators
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students You will collaborate closely with experimental and theoretical partners in computational materials science, battery research, and quantum software and hardware, forging connections within a dynamic
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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems