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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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discipline (e.g., computer science, data science, software engineering) Proficient in Machine Learning, Deep Learning, Python, Data Science, and AI/ML Toolkits Preferred Applicants with Master’s or PhD Degree
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of shaping, and why. Please be informed that only shortlisted candidates will be notified. More Information Job Type: 2-Year Contract Location: Kent Ridge Campus Organization: NUS Enterprise Department : ETP
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of developing advanced building facades and cooling systems and smart robots. The candidate should be able to extract relevant standards (ASHRAE/WELL) information to the product design and communicate them
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of developing advanced building facades and cooling systems and smart robots. The candidate should be able to extract relevant standards (ASHRAE/WELL) information to the product design and communicate them
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of developing advanced building facades and cooling systems and smart robots. The candidate should be able to extract relevant standards (ASHRAE/WELL) information to the product design and communicate them
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team
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@nus.edu.sg ) for more information. Qualifications PhD in any field of life sciences study with research experience 1-2 years As stated above in job specifications: techniques in general molecular biology, cell
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. Communications and documentation Produce clear admin briefs, trip packs, stakeholder summaries, and executive updates. Handle sensitive information with discretion; ensure timely, accurate communication. 6
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the nexus between genomic instability and altered RNA metabolism in ALS. This involves close collaboration with interdisciplinary teams, including experimental biologists and computational data scientists