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Mathematical Sciences of NTU provides a multidisciplinary academic program that provides students with a wide-ranging and up-to-date education. It offers undergraduate training leading to BSc (Hons) in
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution. Good written and oral communication skills. Proficiency in developing deep learning
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Computer Science, Software Engineering, or related field. Strong publication record in top-tier venues. Experience with LLM-based program analysis and infrastructure security. Proven ability to work collaboratively
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rapid increase in the uptake of higher research degree candidacies (especially PhDs), the provision of technical training to the Department, and the support of clinical trials. The successful applicant
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expected to: Develop and sustain a productive research programme in assessment, incorporating educational technology and AI-enhanced practices Design and teach undergraduate, graduate, and initial teacher
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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compute resources as per study requirements. Be involved in conducing workshops, seminars, and mentoring medical and PhD Biostatistics students for statistical software training and related topics. Job
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Bachelor’s degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be