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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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- “Advancing UAV based low-altitude logistics: a network-based optimization framework for Hong Kong”. Qualifications Applicants should have an honours degree or an equivalent qualification. Preference will be
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from Marrakech. Department: Green Tech Institute (GTI) Position Identification Job Title: Logistics Optimization and Environmental Resilience & Sustainability Integration Officer – JORF-Lasfar Entities
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-support tools for decarbonizing mobile mining equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate
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Summary We are developing cutting-edge analysis methods in the areas of multi-omics data integration, pathway analysis, subtype discovery, clinical trial optimization, and meta-analysis. Our group
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling
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, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes for vanadium extraction and purification, with the goal
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collaboration with partners from WIAS or outside. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics