23 web-programmer-developer-university-of-liverpool Postdoctoral positions at Brookhaven Lab
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development and is the nexus of a broad collaboration network. Each year, CFN staff members support the research of nearly 600 external facility users. Three strategic nanoscience themes underlie the CFN
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Apply Now Job ID JR100887Date posted 02/11/2025 The Nonproliferation and National Security Department (NN) contributes to U.S. nuclear security and safeguards efforts by assisting in the development
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development and is the nexus of a broad collaboration network. Each year, CFN staff members support the research of nearly 600 external facility users. Three strategic nanoscience themes underlie the CFN
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the development, analysis and assessment of policies that strengthen international regimes, collecting and analyzing data to identify trends and threats to the U.S. and international communities, developing and
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for the characterization. Prepare research based manuscripts for publication Participate in the meetings related to the EFRC Required Knowledge, Skills, and Abilities: PhD in Condensed Matter Physics, Materials Science
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. The program involves close collaborations with experts in theory and data science and will benefit from frequent interactions with principal investigators at the National Synchrotron Light Source II (NSLS-II
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Associates to join the newly DOE-funded Center for Hybrid Approaches in Solar Energy to Liquid Fuels (CHASE), a Fuels from Sunlight Center that will be led by the University of North Carolina at Chapel Hill
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experimental modalities will be developed to probe the non-equilibrium properties of rare-earth based magnetic chain systems. These modalities will exploit the unusually long lifetimes present in such materials
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push the envelope to accomplish our missions, we develop novel tools and techniques in biochemistry, molecular genetics, structural biology, cell biology, plant pathology and bioimaging that also benefit
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scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) novel development of deep learning ML models and adaptation of existing ones