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immunohistochemistry. Flow cytometry and cell sorting. High-throughput screening approaches. Development or optimization of molecular methods. Postdoctoral scholarships may be established for foreign researchers who
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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to make a difference in people’s lives. The department has 32 faculty members, some with dual appointments that enrich our transdisciplinary approach to design. Located in Ithaca, NY, the department has
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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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-capacitors, additive manufacturing, and energy technologies, in addition to the aforementioned. The department is an exciting environment, where you will be exposed to many different fields and have your
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do Over 24 months, you will work through different research phases to optimize, implement, and evaluate RIDE across multiple faculties. Phase 0 – Development & Prototyping (2 months): Continue the
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surrounded by stunning countryside. Our talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do
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), while training the next generation top scientists, innovators and entrepreneurs. Research at MSN is organized in different research clusters including Energy Transition, Surface Technology and Metallurgy
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random dynamics. You will work on quantifying the typical times of observability for the different transient phenomena and elaborating criteria for a dynamically optimal decomposition of the state space
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow