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. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms
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the settings they were trained on — rather than relying on predefined dictionaries or fixed lists of known threats. Where to apply Website https://networks.imdea.org/job/ph-d-student-position-in-data-driven
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innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you
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23 Jun 2026 Job Information Organisation/Company DIFFER Research Field Computer science » Modelling tools Computer science » Programming Engineering » Chemical engineering Engineering » Simulation
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
methodologies to complex engineering systems; Development and application of advanced Scientific AI methodologies, including surrogate models, generative models, probabilistic models, and data-driven and physics
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Engineering, Process Engineering, Computer Science, Mechanical Engineering, Environmental Engineering, or a related modelling field. Experience in process system modelling with good understanding of data-driven
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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11 Jul 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling
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24 Jun 2026 Job Information Organisation/Company Technological University Dublin Department Directorate of Research, Enterprise & Innovation Services Research Field Engineering » Electronic