82 image-processing-"https:"-"UCL" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 17223 Overview: We are seeking a Postdoctoral Research Associate who will focus on developing a relationship between alloy design, processing, and microstructural characterization
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Requisition Id 16712 Overview: We are seeking a Postdoctoral Research Associate in inorganic or materials chemistry/science or chemical engineer who will focus on separation, processing, and
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imaging of cells and tissues. This position resides in the Quantum Computing and Sensing Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate
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distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross‑Paradigm Integration (new optional emphasis): Explore how
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
research assignments related to energy conversion systems including: Prototype development Material synthesis and analysis Performance testing Analysis of results Preparing research publications Prepare
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the data science, process analytical technology, and chemical processing domains to address technology challenges for raidoistoope production and application. Major Duties/Rsponsibilities: Develop and
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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. Experience working with satellite remote-sensing data such as Landsat, Sentinel, MODIS, SAR, LiDAR, or derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience