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regionalization and lamination of the human cortex and their deregulation in disease using different in vitro models derived from human pluripotent stem cells. The successful candidate will be in charge of
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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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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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, 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
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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Simulation Environments, 3D objects, electronic navigation charts Full time, ongoing role based in Launceston About the opportunity The Centre for Maritime Simulations is looking for a Simulation Visual
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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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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