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propose novel assays when feasible. Supervise PhD and undergraduate student projects, as required. Job Requirements: PhD Degree in Chemistry, Materials Science, Biophysics, or related disciplines. Good
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documentation. Job Requirements: PhD degree in Civil Engineering or in Engineering in a closely relevant field. Familiar with data and models, and software used in exposure and loss modelling. Competency in
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. To work with PhD and other research staff to solve different problems. Drafting and submission of technical progress reports at regular intervals. Presenting of research progress and latest findings
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administration and assist in grant writing as required. Supervise PhD and undergraduate student projects as required. Job Requirements: PhD Degree in Physics/Mathematics/Engineering, or related disciplines. Active
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deliverables. Co-supervise of MSc and Final Year Project students involved in this project. Job Requirements: PhD in computer science, or related field. Strong expertise in natural language processing and large
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Requirements: PhD in Computer Science, or related field. Strong expertise in natural language processing and large language models Over 3-year research experience in the above required areas Excellent
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-supervise of MSc and Final Year Project students involved in this project. Job Requirements: PhD in Computer Science, or related field. Strong expertise in natural language processing and large language
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Responsibilities: Design of topological photonic devices Experimental study of topological and non-Hermitian photonic devices Exploration of new topics in related areas Job Requirements: PhD in Physics or a related
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evaluation and publish research outcomes in top tier conferences and journals. Job Requirements: PhD degree in Computer Science or related field Strong scientific publication record Experience in discrete
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at scale for real-world challenges Documentation and scientific reporting Mentoring junior staff Job Requirements: PhD in Computer Science Minimum 5 years software development experience (Entry Level