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and beyond. Candidate Profile We welcome applicants with diverse backgrounds in experimental or computational biology who are excited by pioneering research directions. Qualifications PhD in molecular
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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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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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expected to teach undergraduate and graduate courses in biochemistry and chemical biology. Qualifications: The candidate must hold a relevant PhD, e.g. in biochemistry or biology with postdoctoral or other
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predictions for the spatiotemporal interaction between free electrons, photons and nanomaterials Publish high quality papers Requirements PhD in Engineering, Physics or related field Knowledge in classical
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accurate record-keeping and financial tracking. Assist with the operational aspects of the Centre’s PhD programme, including events such as open houses, admissions processes, and module coordination. Manage
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Theory. We are looking for world-class candidates with expertise in algebraic number theory, algebraic geometry, and theoretical computer science. The successful candidate will be expected to teach both
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modeling high-dimensional data (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
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modeling high-dimensional data (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