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(Label of Excellence - 00180410, Normandy Region) which aims to develop a new perspective on interfacial interactions for a tailored design of porous materials. This project aims to apply and combine
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
the developed models to design and optimize the properties of materials. Conduct thorough experimental testing of developed materials. Collaborate with interdisciplinary teams, including organic and inorganic
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Postdoctoral Associate: Polyploidy - Roeder Lab, Weill Institute (Research & Innovation) A Postdoctoral Associate position is available in the Roeder Laboratory at Cornell University in Ithaca, NY
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. This post is funded through Dr Elisabetta Arca’s New Investigator Award (https://gtr.ukri.org/projects?ref=EP%2FX032116%2F1 ) and her UKRI Future Leaders Fellowship (https://gtr.ukri.org/projects?ref=UKRI2347
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! Are you curious about how innovation works in the medical field? Do you have experience working in or studying medical technology companies/start-ups? Looking for great work-life balance in a friendly and
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Welcome to Maastricht University! Are you curious about how innovation works in the medical field? Do you have experience working in or studying medical technology companies/start-ups? Looking
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position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research Ireland within the School of Computer Science and Information Technology and this position
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24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by
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AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets. Develop AI/ML approaches to bridge length- and time-scales in