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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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, tables, diagrams) into structured representations and formally checkable properties. This includes designing controlled reasoning pipelines that combine LLMs with symbolic constraints (typed logical forms
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Marcy, Picardie | France | about 2 hours ago
the most effective surveillance and control strategies. Nevertheless, the relevance of such models relies on robust parameterisation, which remains largely reliant on incidence data that are often incomplete
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 days ago
smart living control system that provides situation-adaptive support to geriatric patients and people with mild cognitive impairment in performing everyday activities. Scientific research work in the
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dependent after controlling for a third confounding variable. However, this problem faces major theoretical obstacles. Shah \& Peters (2020) proved that without additional structural assumptions, no test can
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transition challenges using a human-centric approach to ensure the robustness and relevance of the solutions responding to the specific needs of the EU market in a context of climate change and increasing
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
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modelling, microgrid technologies, and simulation-based research. Key Responsibilities Participate in and manage the research project with the PI, Co-PI, and team to design a robust mobile DC microgrid
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g