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Matter 2022, 10.1021/acsanm.2c03406) we have developed a chemical assay coupled with a machine learning algorithm to measure the impact of wood-aging on a range of foodstuffs. The project involves
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games. The PhD will aim to study the impact of uncertainty on the utility function on both the computational complexity and the algorithms available to find the Nash equilibria of the resulting games
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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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8th February 2026 Languages English English English PhD Research Fellow in Human Motion Estimation at Home for Upper-Limb Rehabilitation after Stroke Apply for this job See advertisement This is
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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 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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to apply Website https://www.academictransfer.com/en/jobs/357797/post-doc-opening-predictive-con… Requirements Specific Requirements Required Qualifications: PhD in Robotics, Control, Mechanical Engineering
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 10 days ago
, 060024, https://doi.org/10.1063/5.0202322. Varsha R. Talanki, Qi Peng PhD , Stephanie B. Shamir MD , Steven H. Baete , Timothy Q. Duong , Nicole Wake. Three-Dimensional Printed Anatomic Models Derived
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30 Dec 2025 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Italy
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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