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Field
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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods
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in vision science. The post arises as a follow-on from a UKRI and Wellcome Trust funded project that was part of the “Physics of Life” initiative, bringing together researchers from the physical
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-stellar objects. Candidates with expertise and interests in ground-based high-resolution exoplanet spectroscopy and/or imaging and spectroscopy of exoplanets, brown dwarfs, and young star clusters with
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | about 2 months ago
.. Image registration methods: a survey. — classic, highly cited survey covering geometric transforms, similarity metrics, and evaluation. Image and Vision Computing 21 (2003) 977–1000. Guan, SY., Wang, TM
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is to provide talent, services, and technology that empower SUNY to research, innovate, and transfer discoveries that transform the world's knowledge economy. Our vision is to make SUNY the best place
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vision and robotics (collaborative robot arm, humanoid robot) to enable the dynamic handover of an object from a person to a robot and carry it together to move it. - Activity 1: Substantive work focused
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 10 days ago
approaches in the lab Develop original research ideas aligned with the lab’s vision Guide and supervise students (from Bachelor’s to PhD level) Present research findings at lab meetings, institute seminars
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understanding of placental development through the integration of computational modeling and clinical imaging data within the Biomedical Flows Simulation and Multiscale Modeling (BioSiMM) Lab. Core
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The division boasts extensive experience in fundamental research within computer vision, machine learning
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improvements. Examples include optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques