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biology. It is interested in leveraging new molecular biology tools, including RNA-Seq, CRISPR screens, ChIP-seq, and engineered tensions sensor probes to better understand the mechanical and genetic
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, especially Python, Java, C. Knowledge in software engineering, data structures & algorithms, computer organization, artificial intelligence & machine learning is a plus. More Information Location: Kent Ridge
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with major in Power Engineering • Relevant experience in power electronics, drives, control algorithms, optimization techniques, and optimal energy management algorithm development for the optimal
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, control algorithms, optimization techniques, and optimal energy management algorithm development for the optimal operation of the system and applications. • Strong knowledge of power electronics, wide
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: Python, R, Java, C++, C#.Net, SQL. Proficiency in using Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms
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Analytics & Explainability development of algorithm and system for the project The School of Computing at the National University of Singapore (NUS) invites applications for a Postdoctoral Research Fellow
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Research Process, clean, and analyze large-scale clinical datasets (e.g., EHRs, sensor data) using advanced tools (e.g., Python/R, SQL, Hadoop/Spark). Develop predictive models (e.g., machine learning, NLP
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with data to experts and non-experts alike; and • Experience in sourcing, selecting, and applying machine learning techniques and designing algorithms that can be communicated to, and used by, non
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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
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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