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behaviour in physiologically relevant environments. Data analysis, scientific documentation, and preparation of manuscripts, reports, and conference presentations. Supervision or co-supervision
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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management, and data-driven social science. NBS promotes interdisciplinary, policy-relevant research using advanced empirical and computational methods. Responsibilities: Conducting high-quality empirical
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to localise programme positioning, messaging, and value propositions for each market. • Plan and support market-facing activities such as webinars, information sessions, education fairs, and targeted outreach
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diverse stakeholders to design strategic initiatives, programs and projects in AI and data science. ● Develop partnerships and maintain relationships across key stakeholders from academia and industry
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Requirements: Bachelor’s/Master’s degree in computer/electrical/power engineering with Automation and Control Systems background/specialization 3-5 years of relevant experiences in similar role / technical hands
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. Key Responsibilities: Setup, operate, and maintain advanced femtosecond laser experimental systems. Perform optical measurements and data acquisition for research projects. Analyze experimental data
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undertaking under the AIDF. Pioneering the "public good" credit risk measures, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and
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, education, and urban environmental design. In particular, the project will investigate how exploratory cognitive states – inferred from wearable physiological sensors, motion capture, and behavioral data
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will be responsible for creating and implementing a platform to organize and clean support data, streamline and automate procedures, and support the LEAP transformation towards the 2030 effort