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2178: Baseline Control Systems in the Intelligent Building Agents Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178 . building control; intelligent agents; optimization; data analytics; machine
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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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) Machine Learning and Combinatorial Optimization (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The positions are
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will work under the direction of Prof. Abhishek Halder and will conduct interdisciplinary research in the areas of stochastic control, optimal mass transport, and the Schrödinger bridge. They will pursue
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optimize custom low-cost SDL (Self-Driving Lab) hardware systems, with a heavy focus on additive manufacturing and 3D printing technologies. Modify and optimize 3D printer firmware, including motion control
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IEI at Linköping University. This PhD project, funded by Saab, focuses on developing advanced optimization-based control algorithms for control allocation for next-generation fighter aircraft. Control
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to enable efficient and controllable biotransformation. Key Responsibilities: Apply environmental biotechnology to construct pure culture or mixed culture system. Operate bioreactors and optimize process
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application! We are looking for a PhD student in automatic control. Your work assignments You will work within a project focused on optimization, planning, and decision-making in control systems involving
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computational tools, including optimal-control techniques, that directly support ongoing experiments and advance the control of bosonic quantum operations. About us The position is hosted at the Applied Quantum
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
of multiphase reactions Assessment of different process configurations and application scenarios, including techno-economic evaluation Investigation of process intensification opportunities through optimized