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authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside
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authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside
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mentor undergraduate and PhD students, as well as junior research staff, equipping them with the necessary skills and knowledge to contribute effectively. Collaborate with interdisciplinary teams
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during academic training, with basic knowledge of cluster usage or cloud-based AI tools. More Information Location: Kent Ridge Campus Organization: Faculty of Science Department : Physics Job requisition
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microbes. Qualifications Required Skills Knowledge and lab skills in biochemistry, or life science, or biomedical engineering, or engineering biology, or synthetic biology. Lab skills related
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(collection and analysis) is a plus Qualifications ● Ph.D. in Cognitive Science, Public Health, Medical areas (e.g., Neuroscience), Psychology, Health Economics, or related disciplines ● Significant
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knowledge and experience with Python and its libraries that support ML work. Job Requirements - Positions are immediately available for talented candidates with background in the above mentioned topics. The
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on experimental techniques and methodologies. Desirable Skills and Experience Experience with bioinformatics tools for RNA sequencing data analysis. Knowledge of immune responses to viral RNA and cellular stress
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Qualification Requirements: PhD (or equivalent) in clinical epidemiology, statistics, clinical endocrinology. Strong research experience in endocrinology and diabetes is desirable. Knowledge of biological sample
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-end technologies (e.g., Node.js, Python/Django/Flask, REST APIs, SQL/NoSQL databases) Demonstrated knowledge of AI/ML methods, such as supervised learning, NLP, or deep learning, with application