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of Cognitive Neuroscience of Maastricht University, we are looking for an Assistant Professor in Predictive Brain Processes who wants to develop an ambitious and independent research programme that advances our
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doctoral candidate on the MSCA-DN DETECTIVE project. For rapid control of virus outbreaks, fast availability of antivirals is a major bottleneck. In DETECTIVE, innovative models will be used for setting up
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-Doctoral candidate to join our research team. Your research focus will be on the experimentation of real-time robust model predictive control schemes for induction welding. As a first step you will be
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control, safety-aware learning, uncertainty estimation, failure prediction and recovery. A central goal will be to improve generalisation across anatomies, devices and experimental conditions while
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precipitation, leading to scaling within reservoirs and production wells that reduces operational efficiency. Predicting where these processes will occur is a challenge because they are controlled in part by
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aimed at developing predictive capabilities for transport in fusion-relevant plasmas and validating models against experimental observations. The group collaborates with major international fusion
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 3 days ago
it in pancreatic ductal adenocarcinoma (PDAC), one of the most lethal malignancies. Despite recent advances, our ability is limited to predict and control tumor plasticity. Addressing this gap requires
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techniques such as heat treatment, finishing, surface modification, and coatings; and the sensing, modeling, and adaptive closed-loop control of manufacturing processes. Quality, Metrology & Qualification: In
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implement well-documented branches and weights in the seismic-source logic tree Integrate seismic-source models with ground-motion characterisation in version-controlled PSHA workflows; perform exploratory