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Engineering Research Associate: Advanced Renewables At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning
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a skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning techniques to analyze
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North Carolina Agricultural and Technical State University | Greensboro, North Carolina | United States | 4 days ago
education, research, discovery, and innovation. The College houses the departments of Applied Engineering Technology, Biology, Built Environment, Chemistry, Computer Systems Technology, Mathematics
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: Bioengineering, Chemical Engineering, Civil & Environmental Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering. The Bioengineering (https://bioe.northeastern.edu/ ) Department
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generative machine learning models to create an active learning cycle to identify materials with adequate properties. Promising materials will be synthesized, characterized and evaluated in lab. This will help
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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encouraged to apply. Candidates with experience in the application of AI/ML to structural design are of interest. The ability to teach undergraduate and graduate courses in structural engineering and mechanics
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the synaptic wiring diagram, or connectome, of whole brains, designing, building and using machine learning approaches to computer vision as applied to volume electron microscopy of whole brains. The ideal
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Degree in AI, Data Science, Computer Science, Biomedical Engineering, or related fields Experience in machine learning/deep learning projects Proven research or practical experience (publications, other
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University. Preferred Qualifications Preferred Education MENG or MFGE Preferred Experience Basic knowledge in the areas of engineering and materials science Proficient machining and welding skills Proposed