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movement data (EMG, ultrasound, motion capture) You are creative, proactive, and comfortable working at the interface of AI, physics-based modelling, and control. Why Join Us? Be part of a cutting-edge
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using open-source data, assess the reliability, transparency, and applicability of these models, and validate them through applicable use-cases. Where to apply Website https://www.academictransfer.com/en
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contribute to a major research project to improve our understanding of macroplastic pollution in coastal seas. Working at the intersection of numerical modelling and observations, you will develop simulations
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circular Netherlands by co-creating and designing an agent-based model of the Metropolitan Region of Amsterdam (MRA). The world is facing many ecological and political challenges, many of them rooted in
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form of topic modelling as a method for automated content analysis. Topic models are a probabilistic method that allows organizing the contents of a text corpus into a set of semantically coherent
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optimisation of monitoring density for trend detection and model validation; comparison of ground-based measurement data with RIVM dispersion models and satellite observations; refinement of regional emission
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Modelling, Hidden Markov Models, Causal Discovery Algorithms, Reinforcement Learning) Proficiency in R, Python, and/or Mplus. Excellent command of English (spoken and written) Your scientific qualities
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systematic validation and performance assessment. At ING, large document flows and multiple RAG-based initiatives call for robust mechanisms to evaluate model outputs. You will work with ING Analytics
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6 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Control engineering Engineering » Electrical engineering Researcher Profile Recognised
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Model physics. This is what you will do In particular, you will investigate the role of radiative corrections in beta-decay processes, new methods to better understand neutrinofull and neutrinoless double