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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 26
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Location ESTEC, Noordwijk, Netherlands Our team and mission Internal Research Fellow (PostDoc) in Digital Twin Spacecraft and Simulation in the Modelling and Simulation Excellence Section, Future
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walls for construction? Do you want to understand how fungi and their mycelial networks adapt to various environmental conditions? Then you might be the postdoctoral researcher we are looking for! As a
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time
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of humans and simulated agents. By systematically manipulating the social conditions (cooperation vs. competition, solo vs. group foraging) and landscapes (poor vs. rich resource availability, clustered vs
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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architectures and patterns for space and ground-segment systems. 2) Digital system security engineering Utilising novel model-based frameworks to facilitate the application of emerging system security standards
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-order differentials. Differentiable wind models for accurate re-entry simulations. High-order State Transition Tensors usages and efficient computation. Manoeuvre detection and estimation of non
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stability and efficiency. Onboard Software Modelling: Modelling the behavior and timing constraints of onboard software introduces significant complexity. Ensuring alignment between the simulated and real
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention