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observations of greenhouse and ozone-depleting gases using models, measurements and inverse methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, and
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are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu https://www.bme.duke.edu
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 15 days ago
as optimized CAFE approaches. A validation on controlled materials by comparing simulation and experimental results over a wide parametric range (model robustness and generalization study) will be
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pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models, Computer Vision, and Predictive Analytics while ensuring
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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models
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to model nude. Willingness to sit/stand for a minimum of 1 hr at a time. The University considers all qualified candidates without regard to race, color, religion, sex, age, national origin, disability
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multi-material configurations) using 3D finite element analyses in dedicated tools (e.g., Abaqus) and extract effective properties. Develop and apply hierarchical meso-/macro-scale structural models
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external) https://med.stanford.edu/cancer/research/shared-resources/data-science.html (link is external) How to Submit Application Materials: Please email the required application materials to: Summer Han
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The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and The Polytechnic School seek applicants for a tenure-track or tenured faculty position in the area of energy modeling