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at Tilburg University, in collaboration with the Faculty of Military Sciences and the Joint Sigint Cyber Unit, invites applications for a fully funded postdoctoral position focusing on predictive modelling
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Vacancies Postdoctoral Researcher: High-Fidelity LES & Atmospheric Boundary Layer Modeling Key takeaways About the Project The ECOWIND project focuses on an integrated strategy to extend
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for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
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. Combining AI-based prediction (e.g., TCNN, LSTM, etc) with musculoskeletal models to estimate and predict muscle activation and tendon force over short horizons (e.g. ~200 ms). Integrating these predictions
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Imagery After Loss: Phenomenology, Predictive Value, and Treatment.” The postdoc will spend 20% of the working hours teaching. Individuals getting stuck in their grief often experience different types
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field observations by including the local impact conditions on the blade with the cumulative damage analysis. Moreover, a predictive tool will be developed that allows site-specific analysis based
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has a job opening for a postdoctoral position for the project “Emotional Imagery After Loss: Phenomenology, Predictive Value, and Treatment.” The postdoc will spend 20% of the working hours teaching
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scientific data, model architectures, and training dynamics influence scientific predictions. You will join a vibrant research environment at TU/e at the intersection of AI, scientific computing, and
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: you will divide your time in equal shares between teaching GISc at bachelor and master levels, and advancing research about the integration of statistical movement models with predictive simulation
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: Compiling and analyzing large erosion data sets (thermochronology, cosmogenic nuclides, suspended sediment, etc.); Statistical modelling of data to analyze drivers and make local and/or global predictions