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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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salt nuclear chemistry Program development to create a sustainable research program Publications demonstrating quality work Required Qualifications PhD in nuclear engineering, chemical engineering, or
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(or equivalent) in Computer Science, Machine Learning, Mathematics, or a related technical field. For Postdoctoral Fellows: A completed PhD in one of the fields mentioned above and a strong publication record
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into the AI development lifecycle to build more resilient systems from the ground up. What We Are Looking For For PhD Candidates: An MSc degree (or equivalent) in Computer Science, Cybersecurity, Machine
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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background – mathematics, physics, engineering, computer science etc. A PhD (or be close to completion) and/or postdoctoral experience applying these skills to a biological (or other complex) system e.g
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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applicants from diverse backgrounds who meet the following criteria: A PhD (or equivalent) in acoustics, mechanical engineering, physics, or a related field. Substantial and authoritative practical knowledge
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Requirements: PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent. Proficiency in programming, software design and development and algorithms. Strong analytical
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industry partners. Job Requirements: PhD degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university. Good publication