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or master’s degree in the field of Law with over-average success Excellent abilities of Austrian Private Law and associated practise areas Excellent command of German (written and spoken) Excellent
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; conduct additional modeling, which could include impact models focused on crop water requirements and vegetative health; assist in the development and maintenance of UNIX-based systems for automatic data
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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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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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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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, 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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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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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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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-scale (~10’s of km2) permafrost thermo-hydrological hybrid twin, to be coupled with state-of-the-art freezing/thawing soil mechanics machine learning-based surrogate models (Richa et al., 2024, Tristani
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
observations, and transform them into structured, model-ready representations. Through embedding-based retrieval and semantic geophysical indexing, the AI system will organize and synthesize disparate datasets