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and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative optimization and Machine Learning models to address key challenges in the future airspace
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. The role will focus on developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization under different constraints. Key Responsibilities: Formulate
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-tier AI conference and journals. Internal knowledge transfer, and collaborative research efforts Requirements: Minimally a Bachelor’s degree in Artificial Intelligence, Computer Science, Optimization
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, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection
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School of Physical and Mathematical Sciences (SPMS) Nanyang Technological University, Singapore Associate Prof / Full Professor in Optimization, Control, and Scientific Computing Young and research
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to the Singapore Centre for 3D Printing (e.g. competitions, conferences and hosting visits) Requirements: Ph.D. in the area of Industrial, Mechanical, and Materials Engineering Engineering Design and Optimization
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Optimization and Design in Learning and Robotics'. Key Responsibilities: Obtaining rigorous mathematical results at the interface of geometry, analysis, and data science Designing, implementing, and testing
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insights from both external and internal data to facilitate evidence-based decision making at all levels of the University. Build databases, develop data analytics and implement strategies to optimize
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. The Variational Quantum Eigensolver (VQE) is one such optimization algorithm that helps determine the total energy of molecules. In the NISQ era, simulating molecules with more than 16 qubits is a hard problem
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optimization of closed-loop, automated flow chemistry systems for biomass valorization, integrating data-driven design and in-line analytics. Ensure effective project management, team coordination, and progress