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that make a world of difference. More than a job. It's a chance to make a real difference. Welcome to AbbVie! As part of an international company with 58,000employees worldwide and around 3,500 employees in
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
characterization and modeling tools that different materials-development projects across the MAP can draw on. We explicitly welcome your own methodological ideas and priorities — whether that means microstructure
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of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
: rather than developing individual materials ourselves, our focus is on building, validating, and providing the micromechanical characterization and modeling tools that different materials-development
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and