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challenges of learning from network traffic, (ii) train original AI models that are designed to operate precisely on such data, and (iii) demonstrate the viability in production of AI-driven solutions for, e.g
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Systems and Control division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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design strategies, while producing structured spatio-temporal datasets that will serve as input for realising predictive models. Objective 3 — Realize predictive tools for scenario-based assessment
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priority area of the University of Amsterdam is looking for a new PostDoc to amend our existing team (https://humane-ai.nl/ ). AI is everywhere. Chatbots, translation tools, shopping assistants, hyper
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models, including tissue harvesting and in vivo experimental work. CRISPR-based genetic perturbation approaches. Preferred Qualifications Education: Ph.D. - Doctor of Philosophy Certifications/Professional
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. Candidates should demonstrate technical proficiency in one or more of the following areas: Embodied AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control
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of identity resolution concepts Familiarity with data quality frameworks and reconciliation patterns Knowledge of SCD Type 2 and historical data tracking Experience with Git-based version control and CI/CD
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, high-temporal-resolution signals that naturally support early detection Gallego et al. (2020); Abderrahmane et al. (2020). At the same time, attention-based models have demonstrated strong capabilities