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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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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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requirements PhD in Physics, Applied Mathematics, Computational Science, or a related field Strong background in machine learning, particularly in the development and application of neural networks
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training in stem cell biology, CRISPR genome editing, molecular cloning, and organoid technologies Job Requirements: PhD in Life Sciences, Biomedical Sciences, Developmental Biology, Neuroscience, or a
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domain such as computer vision, machine learning, robotics, civil engineering, mechanical engineering, electrical/computer engineering, or a related field. Relevant research experience, including technical
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photonics, quantum optics, or quantum information science. At least 2 years of relevant research experience with hands-on experimental work in integrated photonics, optical or quantum photonic systems
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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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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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processes. Job Requirements: Essential Qualifications and Experience • PhD in Games Studies, Computer Science, Interactive Media, Digital Arts, Education, Psychology, Media Studies, or a closely related