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Field
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on this tradition, the program is now positioned to lead the next era of FLASH and ultra-high dose rate radiotherapy research, leveraging decades of excellence in both biological discovery and technological
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through experimental and analytical work. This position is responsible for conducting neurophysiology experiments, performing large-scale analysis of neural datasets, and contributing to scientific
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of supercapacitors from tire-derived carbon and having high performance. It is expected that the Postdoctoral Associate will work independently, establish all experimental processes and instrumentation for the work
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growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences
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the following areas are required: 1) wetland science; 2) hurricane science; 3) remote sensing; 4) deep learning and AI, 5) high-performance computing. Experience using AI models is required; experience
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++, or similar languages. Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by differential-algebraic equations. Experience with high-performance computing and the
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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also engage in the micro- and nano-fabrication of devices and perform detailed magneto-electric measurements to explore their functional properties. Key responsibilities include: Growth and structural
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at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics
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of peptide drugs as therapeutics. Performs biochemical, cellular, and molecular experiments to produce data for publication in support of the research program. Conducts computational and bioinformatic studies