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Field
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industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software Engineering, as well as supervise graduate industry masters and doctorate students in
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energy materials, aligned with CHIPS-Act priorities. Anchored in Boston, the theme builds on cross-college collaboration among COE (College of Engineering), Khoury College of Computer Sciences, Mills
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Physics and Imaging Technology, AI-driven Drug Discovery/Biomaterials/Life Science Applications Cognitive Intelligence and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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and student guidance. Assist in the preparation and writing of research grant proposals. Job Requirements: PhD degree in computer engineering, Computer Science, Electronics Engineering or equivalent
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mutagenesis/directed evolution, and a track record of developing innovative experimental approaches. Candidates should have, or expect to complete, a PhD (or equivalent)and have their thesis submitted before
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, reporting, and communications with industry and research partners. Job Requirements Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest
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Systems Engineering, driving forward computer-aided and experimental approaches to the modelling, simulation, analysis and optimisation of sustainable process engineering processes, incorporating