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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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models have driven significant advances in Artificial Intelligence. Polymathic AI seeks to leverage these ideas to develop the next generation of AI-powered scientific analysis tools, seeking more powerful
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Senior Computational Biology Scientist in AI Protein Structure Prediction and Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-MATH [#31838] Position Title: Position Type: Postdoctoral Position Location
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-EECS [#31837] Position Title: Position Type: Postdoctoral Position Location
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-BUSADMIN [#31840] Position Title: Position Type: Postdoctoral Position Location
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Technology (KAUST)CountrySaudi ArabiaState/ProvinceMakkahCityThuwalPostal Code23955Geofield Contact State/Province Saudi Arabia City Thuwal, Makkah Website https://pse.kaust.edu.sa Street KAUST Campus Postal
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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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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