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years of achievement in local, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies that will
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, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies that will strengthen the nation’s leadership in
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning
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, and application of engineered nanoparticles for medical isotope technologies. Develop and evaluate nanoparticle-enabled approaches for isotope stabilization, and therapeutic or diagnostic applications
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committees. Distinguished record of achievement and recognition. Preferred Qualifications: Advanced technical degree (MS or PhD) in a science or engineering field with at least 8 years of experience managing
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Requisition Id 16159 Overview: We are seeking an early-career R&D Associate Staff Member to develop and demonstrate advanced manufacturing, robotics, and automation technologies for next-generation
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broad spectrum of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions
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respectful workplace – in how we treat one another, work together, and measure success. Required Qualifications: PhD in Nuclear engineering, computer science, applied mathematics, or a related field completed
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities