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account (not via the external webpage for open positions). For more information about the role, please contact Professor Paul Verrinder by email at paul.verrinder@aalto.fi . Additional information in
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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Materials Modelling, and Data-driven Atomistic Simulation). The position offers a starting gross salary of 3075 euros per month. The appointment will be made by a fixed-term contract, initially for one year
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internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). For more information about the role, please contact Professor Paul
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email address (not aalto.fi) via Aalto University open positions For more information about the role, please contact Prof. Mikko Möttönen +358 505 940 950 on 3rd July 2025 at 14:00 (EET). For questions
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, programming, Linux, data, and infrastructure perspective: short-term projects helping researchers with specific tasks, so that the researchers gain competence to work independently. Provide good role models
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2025 (Flexible) Project Duration: 18 months (with a pathway to a co-founder position in a potential spin-off company). The project will end on December 31, 2026, and the employment contract will be valid
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is