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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 22 hours ago
experiments, Geomechanical characterization and analysis, High resolution image analysis Machine learning algorithm and application, Programming (C++, Fortran, Matlab, Python), and Basin model development
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
novel paradigm integrating Agentic AI, applied energy solvers, digital twins, and control automation to redefine scientific discovery and address key capability gaps at NETL. As a faculty research
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development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities
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, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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microscope that allows one to perform single-atom and single-site resolved fluorescence images of strontium Hubbard systems for the first time. Furthermore, we have very recently been able to push our setup
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workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require
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/ qPCR RNA, DNA, and protein extraction Preferred experience includes: Confocal microscopy and high-content imaging Flow cytometry or spectral flow cytometry Bioinformatics analysis of sequencing datasets
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-of-the-art biophysical methods (microscopy, spectroscopy, live cell imaging, nanotechnology and neutron and X-ray scattering) to address cutting-edge questions in biology and meet medical challenges. Our joint
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community at UVA, with active collaborations across the UVA School of Medicine. The lab has full access to UVA's high-performance computing resources and core facilities supporting genomics and imaging