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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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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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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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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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. Collaborate with partners in signal processing and machine learning to link physics-based models with data-driven algorithms. Participate in joint research activities, publications, and dissemination through
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are as important as high accuracy. Supervise student projects at BSc, MSc, and PhD level. Work with experts at the Jülich Supercomputing Centre (JSC) to run your algorithms/tools on large distributed
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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