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Field
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grid operators and other stakeholders make robust decisions when the data they need cannot always be shared? The transition to sustainable heating is one of the biggest challenges of the energy
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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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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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◦ Controlled simulations (nonlinear SDEs, active models, dynamics with memory). ◦ Study of the robustness of the methods (noise, low sampling frequency, partial observability). 6. Application to real systems
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. Knowledge of applying AI-driven analysis for scheduling, forecasting, and quality control may be considered an asset. Behavioural competencies Research - Creative thinking (Level 2) Research - Communication
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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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is desirable. Familiarity with optimal, robust, or adaptive control approaches, particularly multi-objective formulations balancing energy performance and structural loads, will also be beneficial
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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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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