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the Previzo project, whose objective is to develop an artificial intelligence based decision support tool to optimize water resource management, in particular by anticipating water related crises and conflicts
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Leiden. We offer a temporary contract of 18 months for new external candidates or 12 months for internal candidates. A fixed contract after this term is subject to performance and feasibility. A command of
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, privacy, access controls, and metadata management. Strong working knowledge of cloud-based data and analytics ecosystems and modern data architectures (e.g., data Lakehouse, medallion architecture
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to the lack of generation inertia worsening power system stability. Control of such a complex system relies on detailed understanding and real-time modelling of the nonlinear dynamics resulting from
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, with a particular affinity for geometric and model-based approaches to 3D understanding, is considered an asset. You have a proactive and independent working attitude. You can report clearly, both orally
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fruitful data to calibrate physics-based crystal plasticity models and inform them with key parameters (e.g., variation of single-crystal elastic constants and critical resolved shear stresses with
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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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closely connected with applied research and industry collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent
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across medicine, nursing, pharmacy, podiatry, and other health professions to design integrated, team-based care models that address prevention, education, and treatment of diabetes and its complications
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tailored for these missions. This PhD opportunity is fully funded as part of the ECHOES ERC project. The main objective of this doctoral research is to integrate coronagraphs with actively controllable