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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Water process prediction and optimization) Posting Start Date: 10/06/2025 Job Description: Job Description The Research Staff
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Optimization and Motion Planning) Posting Start Date: 05/08/2025 Job Description: Job Description The research project focuses
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offering a FAPESP Technical Training Level 4 (TT-4) Fellowship. The project aims to analyze organizational and judicial processes involving the Public Treasury, focusing on case flow, costs, and critical
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content and interface with the industry Ensure processes and procedures are executed in compliance to the University’s policy framework Constantly seek improvement for laboratory operations (e.g. reduce
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the Asian School of the Environment (ASE) and the Earth Observatory of Singapore (EOS) to push forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes
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, please view https://www.ntu.edu.sg/newri . Key Responsibilities: Optimization of membrane fabrication parameters for targeted separation performance Design, synthesize and modification of polymeric
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experience Familiarity with core engine technologies such as engine architecture, multi threading, streaming, computer graphics and advanced real-time rendering techniques Experience developing optimized
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specific molecule. We are looking for a research fellow to optimize the use of the VQE algorithm for accelerating the optimization process of ground state energy calculation of molecules by leveraging
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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
been extensively studied in game theory, reinforcement learning, and optimization, their full integration into modern AI systems (particularly in multi-agent deep learning and human-AI collaborative