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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning models for prediction and recommendation Job
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an emphasis on technology, data science and the humanities. The Nutrition, Digestion, and Metabolism in A/Prof Sunny Wong’s Lab focuses on understanding the interplay between diet, metabolism, microbiome, and
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our dynamic research team within the lab of Prof. Rong Li. The successful candidate will conduct cutting-edge research in the fields of cell therapy and cell rejuvenation, with a focus on improving the
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cohort study. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment of >80,000
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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literature review, algorithm design, experiment design, model training, evaluation, and benchmarking. Work with and supervise undergraduate or graduate student assistants, guiding them in data collection
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ethical and security standards. Concept and Algorithm Development: Innovate in data science, machine learning, and AI. Data Analysis and Reporting: Contribute to data analysis, reporting, and publication
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering
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bacteria to produce redox-active molecules in response to environmental cues Integrate Biological sensors with electronic transduction systems to form a robust microbial electronic interface. More