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adaptive surrogate modeling to maintain alignment with actual system changes. You PhD work will take place within the Interconnected Resource-aware Intelligent Systems (IRIS) cluster of the TU/e Department
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algorithms in the simulation environment with grid use-case scenarios Integrate and validate solutions in the virtual grid environment. RT2: AI-driven state estimation and prediction This research aims
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other societal stakeholders. Research environment In this PhD project, you will conduct innovative multidisciplinary research at the intersection between industrial engineering/operations management and
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Validation of the developed algorithms in the simulation environment with grid use-case scenarios Integrate and validate solutions in the virtual grid environment. See for the other 3 reseach tracks below
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industry-grade etch and deposition equipment. These facilities and the associated expertise are considered to be unique in an academic research environment. The project is supported with the infrastructure
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environment. See for the other 3 reseach tracks below: PhD1 / RT1: Synthetical data generation using multivariate models . PhD3 / RT3: Stochastic modelling and reliability assessment . PhD4 / RT4: Grid-edge
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-renewable raw materials used for Portland cement production by sustainable and circular resources. Irène Curie Fellowship No Department(s) Built Environment Reference number V38.7503 Job description In
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of an agent-based modelling environment for scenario-based analysis; 3) Validation of the models against real-world user-design case studies; 4) Optimization algorithms for combined charging infrastructure
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architecture? Then you may be an excellent candidate for this PhD position. Irène Curie Fellowship No Department(s) Built Environment Reference number V38.7449 Job description The increasing demand for new
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Irène Curie Fellowship No Department(s) Built Environment Graduate Program(s) Architecture, Building and Planning, Computer Science Reference number V38.7319 Job description Are you passionate about