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/ Location Main Campus Address 1235 E. James E. Rogers Way, Tucson, AZ 85721 USA Position Highlights The postdoctoral scholar will conduct research into hyperspectral imaging of geological and mining materials
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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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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 29 days 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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supercomputers, and computational imaging. Research Areas of Interest (include but are not limited to): Vision Transformers and foundation models for scientific and biomedical imaging Federated and distributed
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rhythms using Drosophila as a model system. This research will involve biochemical assays, cell imaging, genomics, and computational approaches to define how conformational changes in CLOCK and PERIOD
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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/ ) – an European network of excellence in AI, Machine Learning (ML) and Computer Vision (CV), of which Vittorio is a Fellow member. For this particular position, the focus is on investigating AI approaches
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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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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine