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for small events and the sparse seismic data acquired in geothermal projects. The third task is centroid-moment tensor inversion for low-magnitude induced events in geothermal projects, focusing
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within the same specimens. Using seaweed as a case study, you will investigate how the resulting multimodal data can support species identification, the characterization of morphological variation, and the
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enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in candidates working on land-oriented applications such as
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Survey (ESWS) data from 9 European countries and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the analyses. You will
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/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing on the HASRL framework and the
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to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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Use real-world vessel data, agent-based modelling and digital twin technology to accelerate the transition toward zero-emission inland shipping. Job description The postdoctoral research is part of
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integrates athletes’ subjective experiences (such as perceived exertion, motivation, enjoyment and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University
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. Both signals and responses occur over time, in a dynamically changing landscape. The goal of this position is to investigate information transfer in dynamical systems, ranging from molecular