8 algorithm-"DIFFER"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at Nanyang Technological University
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unified autonomous vehicle scene representation. Our project consists of theoretical fundamental, adversarial attack/defence algorithms, and robustness-oriented understanding methods to enhance
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digital solutions and sustainability services Design, implement, and optimize a data pipeline that processes EL images. Develop and integrate algorithms for image correction, stitching, and exposure
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storytelling skills to produce videos that resonate with diverse audiences across multiple platforms. He/She will need to work closely with different stakeholders across NBS to achieve the intended impact for
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of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working
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sciences (e.g, adolescent development; individual differences; Educational neuroscience) Proficient in using at least one statistical software package (e.g., SPSS, R , Stata, M plus) Experience in
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analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable representations from large datasets, enabling effective application across different
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc
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learners) Familiar with major theories in learning sciences (e.g, adolescent development; individual differences; Educational neuroscience) Proficient in using at least one statistical software package (e.g