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environment. Development of models to diagnose and predict battery performance and ageing. Participation in national and international research projects related with energy storage and its integration in
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related to the project. Candidate Profile Strong proficiency in software tools related to materials/process modeling, thermochemical systems, statistical design (DoE), and data analysis. Excellent verbal
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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-Quality System Work closely with PhD students and postdoctoral researchers in materials science, physics, and computer science to incorporate latest research results—including new models, representations
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DEVCOM Analysis Center. Topics of particular interest include: 1. Development of novel machine learning and AI models, as well as the adaptation of existing approaches for AI-enabled decision aid systems
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, including blended cements. Develop curing-specific DoC prediction models and validate against experimental results. Determine the effect of controlled exposure conditions on the DoC of fibre cement materials
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paste content, and study carbonation of recycled cementitious materials in stockpiles. You will develop thermodynamic predictive models trained on the comprehensive database that will be compiled
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, thus achieving a vascular model with a broad range of (relevant) dimensions. To connect the chips to a perfusion pump, it must be contained in a small casing which should be made from materials
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 7 days ago
on the development and validation of biomaterials and smart medical devices using animal models and advanced 3D technologies Topics: Advanced biomaterials for tissue repair and regeneration Preclinical animal models
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, and Azure—and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models, governance structures, and