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), structural health monitoring, and smart manufacturing systems Design and execute experiments involving ultrasonic, electromagnetic, and other material testing techniques Develop and apply computational models
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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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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Job Title Postdoctoral Research Associate - Climate-Smart Feed Management and Nutrient Modeling Agency Texas A&M Agrilife Research Department Animal Science Proposed Minimum Salary Commensurate Job
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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AgriLife and make a difference in the world! Position Information This position provides leadership to the modeling and analysis of historical data on groundwater extraction and agricultural irrigation in