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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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concepts from nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning
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experience applying artificial intelligence or machine learning to scientific or engineering problems, including the development, training, validation, or evaluation of machine-learning models. Proficiency in
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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they promote translocation biogenesis, and testing them in preclinical models. The work combines CRISPR engineering of B cells, protein biochemistry and genomics approaches including RT measurements, replication
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on nature driven building skin (façade) solutions for the NWO project Nature 4 homes. This is a 5.5 years project, starting in november 2026 and coordinated by Delft University of Technology. You will
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community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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Position Highlights The Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology (RIT) invites applications for a Postdoctoral Research Associate to contribute
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal