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expertise in engineering, materials, and data science, including AI/ML, to evaluate aerostructural and aeroelastic properties of aerodynamic systems, with a focus on high-fidelity modeling and simulation and
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Details Title Postdoctoral Fellow – PKPD Modelling, Bladder, Lung-on-Chip School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss
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engineeringEngineering » Mechanical engineering Additional Information Benefits Gain hands-on experience with cutting-edge computational mechanics, AI-driven design, and fracture mechanics. Work on high-impact aerospace
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Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | about 1 month 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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on the modelling of transmission dynamics and risk assessment of mosquito-borne arboviruses with the potential to invade the EU. Addressing this challenge requires an interdisciplinary approach, combining
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is addressing one of the world’s most pressing healthcare issue: Over nutrition driven chronic diseases