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We invite you to apply for a Postdoctoral Appointee position in the Chemical Sciences and Engineering Division (CSE) at Argonne National Laboratory. This position offers the opportunity
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| Civil Environmental and Geodetic Engineering We invite applications for an exciting opportunity for a postdoctoral research associate position in the domain of digital twin modeling for infrastructures
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science applications in engineering. Preferred Experience Academic or professional experience involving interdisciplinary research, including theoretical modeling and experimental validation Experience
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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Responsibilities: The Department of Civil, Construction and Environmental Engineering at Iowa State University (ISU) invites applications for a Postdoctoral Research Associate position in the area of advanced and
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Posting Title Commercial Buildings Postdoctoral Researcher Engineer – Building Science and Energy Modeling . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working
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fabrics, and a strong interest in AI driven models for the creation of a digital twin for textile. It is best suited for those able to work independently with limited oversight while remaining highly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 minutes ago
), especially using Google Earth Engine (preferred). - Proficiency in Python, JavaScript, or R for geospatial analysis and modeling. - Experience handling large-scale Earth observation data, including cloud-based
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offers mentorship under Dr. Alejandro Plastina and collaboration within a multidisciplinary, mission-driven team. Responsibilities - Develop and enhance models for state-level farm income and regional
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across the departments and will: Support the development of new AI-driven curricula and assessment frameworks for health professions education. Design, develop and apply AI solutions including traditional