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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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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and eye disorders. The De Paola Lab at Duke-NUS
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) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience
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Job Description Job Alerts Link Apply now Job Title: Research Fellow, Computational Biologist Posting Start Date: 20/05/2025 Job Description: Job Description The focus of Professor Patani’s lab is
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to optimize fluid flow, heat transfer, and current distribution within the electrolyzer. • Model key parameters such as overpotential, gas diffusion, ion transport, and pressure drop to improve overall
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focuses on mechanical and morphological evolution of the insect heart, as part of the recently funded Human Frontier Science Program (HFSP) grant awarded to Prof. Young’s lab. The heart is one of the first
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of AI tools to scientific or computational problems. Experience: - Completed AI-focused final-year project(s) involving model development, training, and deployment, demonstrating a strong grasp of machine
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predictive modeling and can use critical thinking to assist with clinical trial design. • Familiar with data sets, computing, statistics, and writing protocols. Recruitment is open immediately and will