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methodologies for the preparation of halogenated molecules using continuous-flow photocatalysis. The activities include the design and optimization of photoinduced reactions under flow conditions, the selection
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Level 14 Salary Range $81,328-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu/employment
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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop
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the reasoning and code-generation capabilities of LLMs and SLMs. The research will design autonomous agentic workflows to tackle complex networking challenges, including real-time network optimization, protocol
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) nanosheets for low-pressure hydrogen storage applications. This position involves close collaboration with academic and industrial partners to design innovative nanomaterials and optimize their performance
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI CHIMICA INDUSTRIALE "TOSO MONTANARI" | Italy | 10 days ago
relationships. Where to apply Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply for research grants fill out the form available at the following address: https
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Department of Applied Mathematics Research Assistant Professor in Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational
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Internal Number: 7007184 Snowflake Developer About the Opportunity Job Summary The Snowflake Developer is responsible for designing, developing, optimizing, and operationalizing Northeastern University's
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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development
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the fields of distributionally robust optimization, contextual stochastic optimization, decision-dependent uncertainty, robust & stochastic optimization foundations, conic & convex optimization, or simulation