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Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term Project Overview We are seeking an outstanding and highly motivated Research Fellow (PhD) or Research Engineer
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Lawrence Berkeley National Laboratory is hiring a DuraMat Degradation Analysis Postdoctoral Fellow within the Energy Technologies and Systems division. The HackingMaterials group has confirmed
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areas include the development and implementation of advanced AI techniques for image-guided radiation therapy, including image reconstruction, enhancement, synthesis, segmentation, and registration, as
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://www.ln.edu.hk/ . Applications are now invited for the following post: Postdoctoral Fellow Division of Industrial Data Science (Post Ref.: 26/112) The main responsibilities of this post are to (i) conduct research
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) observations of black holes, with the goal of producing the highest resolution image to date of the black hole and its photon ring. The project is led by Michael Johnson (Principal Investigator, SAO) with Peter
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the division. What We’re Looking For We welcome applications from individuals with: · Fellowship training in Musculoskeletal Radiology with strong clinical expertise across MSK imaging. · Board
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Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term As Singapore’s University for Industry, SIT works closely with industry partners in our research pursuits. Our
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Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term About the Project The SIT x NVIDIA AI Centre (SNAIC) at the Singapore Institute of Technology (SIT) is seeking
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow, Biological Sciences_Ren Lab Division Academic Affairs Department College of Science (Col) Work Unit
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for the detection, segmentation, classification, and tracking of zooplankton and estuarine-dependent larvae in noisy, high-volume imaging datasets collected under challenging field conditions. The work will involve