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‑electron tomography (cryo‑ET) to study in situ amyloid deposition and amyloid–cell interactions in experimental models and human tissues. This project is part of the BE.Amycon VIB Grand Challenges initiative
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to accelerate the path to certification. More details on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models
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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | 18 days ago
, Power Engineering and Energy Management Chair Research Field Engineering » Mechanical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 20 Apr 2026
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the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London. About the role We are looking to appoint a full-time (1.0 FTE) Research Associate to work
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TLDR: Build the model backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
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. Where to apply Website https://www.academictransfer.com/en/jobs/359558/phd-in-addressing-rebound-effec… Requirements Specific Requirements A Master’s degree in Interaction Design or closely related
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, evaluation, and interpretation of AI models on single-cell biological datasets, while keeping downstream translation and valorization potential in clear focus. Key responsibilities Apply and evaluate advanced
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. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently opening a new Entrepreneurial Education site in Taicang, part of wider Suzhou, where
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development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently opening a new
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The