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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 7 Feb 2026 - 20:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 35
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is a plus point. Applicants with a PhD in Quantum Physics are also welcome, but they should have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software
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in general. Where to apply Website https://www.academictransfer.com/en/jobs/357226/phd-on-development-of-smart-alg… Requirements Specific Requirements Master’s degree in Biomedical Engineering
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See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en/thesis-and-internship-topics/advanced-tomography-imagi… Work Location(s) Number of offers available1Company
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The forthcoming Atmosphere Observing System (AOS) mission aims to provide spaceborne observations
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g
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of the discipline, industry and society. For further information about the School, please visit http://www.civeng.unsw.edu.au/ Skills & Experience PhD in a relevant discipline or equivalent experience. Demonstrated