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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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models and project standards. You will develop a coherent, structured approach to prioritisation and build a delivery capability that accelerates outcomes for Manchester’s researchers, improves consistency
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, Industrial Engineering, or a closely related quantitative discipline. • Demonstrated research expertise and strong publication record in Generative AI, VLMs and/or VLA models, and their applications in
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, electromagnetic interference, or injected faults, can affect the behaviour of power electronic systems. Developing data-driven models that capture how disturbances propagate through the system and may lead to
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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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learning and deep learning models for renewable energy forecasting, particularly wind power generation. Working with data-driven weather prediction models and high-resolution meteorological datasets
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lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Associate Professor of Data-Driven Material Modeling (salary group W2
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | 25 days ago
science, this approach will deliver tools for data-driven, sustainable composite design and inform industry decision-making on a global scale. Parametric modelling with 3D CAD tools and programming
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innovative approaches in bit technology, hydraulic hammer systems, drilling fluids, and thermal management. The project will combine experimental insights, physical modeling, digital‑twin technologies, and AI