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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 might be our next PhD
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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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Professor, Biomedical Engineering (T/TE) Posting Number req25550 Department Biomedical Engineering Department Website Link https://bme.engineering.arizona.edu/ Medical Sub-Speciality Location Tucson Campus
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lymphatic identity and immune response. Working at a world-leading institution within a high-impact collaborative environment, you will employ in vivo models with state-of-the-art molecular and cellular
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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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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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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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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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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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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