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hydraulic modeling. 80% research - The project focuses on developing theoretical models using optimization to improve understanding of plant stomatal regulation at the leaf, plant, and ecosystem scales. 20
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enhance optimization algorithms, help practitioners select the most effective algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex
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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the
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related to a biomedical field. Preferred Qualifications: - Advanced degree (PhD) in biomedical sciences or related field(s) - Experience carrying out complex, long-term research projects. - Experience with
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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, optimize, and analyze high throughput functional assays and pooled library screens Help with the validation of candidate variants and genes in mouse models Analyze data using relevant software and present
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the optimization of High- Throughput RNASeq capabilties. The successful candidate will help design and execute next- generation RNASeq experiments with the goal of significantly reducing the cost and increasing
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modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and