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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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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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). Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, phase-field simulations). Proficiency in Python, TensorFlow/PyTorch, and scientific computing. Experience in
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in Health Research Methods, Epidemiology, Computer Science, or a related field. Expertise in evidence synthesis and clinical guideline methodology such as network meta-analysis, GRADE. Experience with
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microbiome data and provide biological interpretations to refine hypotheses and experimental designs. Support wet-lab researchers by assisting with critical experiments to validate computational predictions as
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/NLB) Posting Start Date: 24/06/2025 Job Description: Job Description The Signature Research Programme in Emerging
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Responsibilities: Develop new methods for power systems control. Develop data-driven methods for application in power & energy systems Assist in preparation of teaching materials for electric power related courses
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half of them published in prestigious journals (Chem. Eng., Appl. Energy, Energy Convers. Manag., Renew. Sustain. Energy Rev.). His contributions have earned his numerous fellowships and awards