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innovative microfluidic technologies. Responsibilities: Designing and conducting experiments to study microbial communities using microfluidic platforms. Developing and optimizing microfluidic devices for high
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recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary
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data is acquired, computed, and used and to develop, validate, and implement new, data-driven decision-making approaches to advance human health. Maxwell Fellows will engage in deeply interdisciplinary
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and Applications of Food Composition Laboratory and the Food Quality Laboratory. The project focuses on enhancing health-promoting compounds in leafy greens through optimized nutrient delivery and
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
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of medicinal chemistry. The candidate will be responsible for designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (a4b2 nAChR
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About the Opportunity Program Overview Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the education
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The New York Times has called ?the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative
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complimentary study areas in this field: forest operations and logistics, supply chain modeling and optimization, biohub siting and design, and aggressive dissemination of research results. In addition to USDA-FS
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engineering requirements (optical pulse duration, terahertz crystal materials in cryogenetic environments, signal-to-noise ratio optimization, entanglement witnesses and verification) necessary to resolve