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years. Your work tasks This PhD project focuses on the design and control of energy-efficient hydraulic systems with integrated safety functionalities. The overall objective is to develop innovative
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, within the framework of project (1803P.30000.1.01) CSI.OVH-IDMEC, in the area of Mechanical Engineering (Control, Automation and Robotics), financed by IDMEC funds, under the following conditions
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engineering of controlled cellular microenvironments. The PhD will be conducted in a highly interdisciplinary environment at the interface of soft matter science, biomaterials engineering, microfabrication
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-minute market time units, automated mFRR energy activation, and flow-based market coupling further increase the need for decision-support methods that are fast, robust, risk-aware, and suitable for real
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and statistical methods as part of a close collaboration between Uppsala University, Westinghouse, and Vattenfall? Would you like to contribute to the development of fast, robust and reliable
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make it possible to obtain new constraints on the parameters of the standard cosmological model and to test possible extensions to it. Achieving these goals will require extremely precise control
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. You will investigate multi-agent planning, learning and control methods to enable decentralized, robust, and precise aerial manipulation with CAMLs. The goal is to allow existing UAV platforms
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be considered an advantage if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong
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. Scientific objectives - Advances in broadband laser technology are fueling hopes of achiev-ing inertial confinement fusion in a regime largely free of parametric instabilities, paving the way for more robust
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micromanufacturing constitutes a paradigm evolution in how knowledge, control, and value will be created in micromanufacturing platforms for the health sector. About the host Politecnico di Milano is a leading Italian