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modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process
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. The successful applicant will investigate the structure, dynamics, and motility of the bacterial Type IV pilus (T4P) machinery in the model organism Thermus thermophilus using theoretical modelling, simulation
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. The duration of the contract is for 24 months from the starting date. Salary is approx. 4100€/Month. Our vast array of professional development opportunities means you will grow and learn, having the chance to
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skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential To apply online for this vacancy and to view further
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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related discipline. The candidates will have expertise in computational imaging, with: (i) an algorithmic focus, with particular interest in methods at the interface of deep learning and optimisation
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Veronika Fikfak. The Postdoctoral Research Associate will be responsible for data collection from different human rights case law databases, coding (including machine learning) and data analysis. They will
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on the ERC project and your own research interests. You will apply state-of-art methods of social network analysis, such as Stochastic Actor-Oriented Models (training will be available). You will produce high
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plumes. Emissions plumes from high-altitude sources (e.g. aircraft) can persist for weeks or even months in the stratosphere, but most global atmospheric models are unable to preserve such fine structure
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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