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The Oden Institute is an organized research unit that fosters interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and computational visualization.
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CFD modelling and computational fluid dynamics. CFD modelling and computational fluid dynamics. Our team is responsible for conducting hydraulic analysis and designing water/wastewater treatment plants and transfer pipelines for a diverse range of clients.
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The Computational Toxicology Intern will gain exposure to a wide range of safety-related datasets ranging from biology, pharmacology, toxicology, and chemistry to help with predictive modeling, data engineering, and data visualization.
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The major areas of research include, but are not limited to electronic, optical and magnetic materials, polymers, ceramics, composite materials, nanomaterials, energy materials, quantum materials and devices, biomaterials and medical devices, additive manufacturing, data science of materials, theoretical and computational materials.
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Mason's Department of Bioengineering, has 12 faculty members whose research can be divided into four pillars: biomedical imaging and devices, computational biomedicine, biomaterials and nanomedicine, and neurotechnology and computational neuroscience.
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The Data, Analysis, and Visualization group, located within NREL’s Computational Sciences Center, is seeking a full-time software engineer with experience in visualization research and UI/UX. The software engineer should be dynamic, motivated, and have a strong interest in advancing the renewable energy mission of NREL by supporting world class research, innovation, and leadership in computational science.
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Are you a Senior NLP Engineer with in-depth expertise in computational linguistics, artificial intelligence, programming, and a strong understanding of fundamental NLP concepts? The position requires in-depth expertise in computational linguistics, artificial intelligence, programming, and a strong understanding of fundamental NLP concepts.
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We have strong research and educational programs in Artificial Intelligence, Machine Learning and Data Science, Bioinformatics and Computational Biology, Human Computer Interaction, Robotics and Autonomous Systems, Software Engineering and Programming Languages, Systems and Networking, and Theoretical Foundations.
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At the Computational Combustion Laboratory (CCL), we work to tie together the fundamental knowledge at an atomic level with global models at the atmospheric level to better understand global environmental issues.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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Proficient in computational fluid dynamics (CFD) analysis, thermal hydraulics methods and commercial CFD tools with emphasis on STAR-CCM+. Various scales of analysis tools ranging from Computational Fluid Dynamics (CFD) to first principles are used to provide inputs to other groups.
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The Computational Fluid Dynamic Engineer will lead the creation and development of computational fluid dynamics (CFD) design models. Strong computer skills include AutoCAD, BIM (Revit), 3D Rendering Programs, hydraulic analysis, and HVAC analysis programs.
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In 2016, the foundation launched the Flatiron Institute (FI), a multidisciplinary institute whose mission is to advance scientific research through computational methods, including data analysis, modeling and simulation.
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The graduate intern will work within the computational pathology team to assist scientists on the development of machine learning approaches and refinement of existing image analysis tools. Computational Pathology Internship Overview.
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Conveyance systems, including wire-to-water analysis, pumping optimization, transient analysis, computational fluid dynamics (CFD), and management of physical modeling projects. Conveyance systems, including wire-to-water analysis, pumping optimization, transient analysis, computational fluid dynamics (CFD), and management of physical modeling projects.
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