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duties and responsibilities Carry out research in modelling and simulation of particulate processes using appropriate software packages for techniques such as DEM, CFD, FEA and Machine Learning. Develop
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overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other scientific output. Ideal
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, and satellite technologies; and • Digital engineering, digital twin systems, artificial intelligence and machine learning, quantum computing, and advanced computational methods. Experience with
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degree in a relevant discipline and 3 to 5 years of experience, or an equivalent combination of education and experience. Demonstrated development experience with AI and machine learning models; Ability
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Offer Description Development of atomistic ab-initio simulations and machine learning models for the study of phonon transport, phase transitions, and structural optimization of phase change materials
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, implementation, and evaluation of models of mental health and accessibility services Knowledge of professional, national, and state ethical guidelines Intermediate understanding of databases, mental health, remote
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clinical staff, including oversight of hiring, onboarding, performance management, staffing models, scheduling workflows, and professional development. The Director collaborates closely with operational
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, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems Experience operationalizing end-to-end machine learning applications