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Field
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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electrochemistry and catalysis to Development and optimization of biomass chemical conversion technologies. Key Responsibilities: Design and evaluate solvent systems and additives for chemical transformations
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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Assistant will help with the development of a new stellarator experiment in the Columbia Plasma Physics Laboratory. The assistant will be responsible for using and developing the numerical optimization
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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and enabling the rational design and optimization of highefficiency plasma reactors.This PhD project aims to bridge this knowledge gap by developing and experimentally validating acomplex multiphysics
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optimization of community PV systems, e-mobility, and edge data center integration at the Swiss pilot site hosted at Empa’s NEST demonstrator. The role involves coordinating the deployment and validation