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United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https
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crystallization robotics, liquid handlers, and imaging platforms. Build scalable data pipelines linking experimental metadata, imaging data, and diffraction results for high-throughput analysis. Evaluate model
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will do Existing paint or coating curing technologies typically rely on heat or high-energy UV light. To lower the carbon footprint of coating and paint curing, it would be preferable to develop
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chemical and biochemical processes. The research will contribute to next-generation smart manufacturing systems, aligned with Industry 4.0 paradigms, and target applications in sustainable energy production
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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skills and critical thinking. Experience working with cell culture, tissues and/or advanced experimental models of disease. Experience in relevant immunological, molecular and cellular techniques such as
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endothelial cell layer. A bioactive surface will be incorporated to enhance the interaction between the stent and surrounding tissue, improving long-term performance. The work will involve advanced material
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magnetic moment and serve as the building blocks of molecular quantum devices for next-generation technologies. As the design principles for developing molecular magnetic behavior become clearer, the next
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Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES), together with the Division of Engineering, Civil and Urban Engineering Program, at NYU
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows