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organizations, or government agencies on energy or infrastructure issues. Background in digital twin platforms, cyber-physical systems, or energy system modeling and optimization. Familiarity with large-scale
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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: Development and application of AI and machine learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental
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candidate will work full time on the above outlined research project. It is expected that they will actively and creatively develop and optimize the detailed methods to pursue the overall project goals. All
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, and energy efficiency will be performed to optimize desalination processes for regional sustainability. The successful applicant will oversee projects, develop extensive technical expertise, and
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motivated Postdoctoral Researcher to join our Grid Planning and Analysis Center (GPAC). This position will focus on tackling critical optimization challenges in medium-term power system planning like
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on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has experience with modern
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and human inner-ear organoid systems. Design, optimize, and evaluate gene therapy strategies, including AAV vector engineering and delivery approaches. Collect, manage, and interpret experimental
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and GPU-accelerated tools for circuit and system design optimization, addressing challenges in physical design, timing analysis, and large-scale hardware design automation. The researcher will
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or proteins. More details can be found: https://yanjun-li.com.html . Additional duties of the role will include, but are not limited to: Leading the development and optimization of the AI and/or computational