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; multidisciplinary researchers who continue to push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging; staff who are dedicated and
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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. Uses statistical methods and relational databases to analyze data sets. Prepares or assists with preparing reports of research findings. Assists with planning, developing, coordinating, and administering
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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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. Drafting of technical reports and promotion of results (publications, conferences). Where to apply Website https://www.imt-mines-ales.fr/ Requirements Research FieldComputer science » Computer
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on the lab’s website: https://www.janelia.org/lab/vale-lab . About the role: Our lab is seeking an experienced Research Specialist to support Dr. Vale and his research staff. You will provide infrastructure
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degree, in the scientific area of Biomedical Sciences, Biology, Biochemistry, Psychology, Biomedical Engineering, Computer Engineering, Physical Engineering, Electrical Engineering; Clinical Neurosciences
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the first method applied; b) Based on the score of their academic qualifications. VII.VI - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt