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learning, multi-armed bandits). Each position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer
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contribution to research in sphere 3 on regulation and policy considerations for building trust and digital resilience. Qualifications Applicants must have a relevant PhD before starting the position. The ideal
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expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply. • PhD in electrical engineering
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. Develop algorithms for continuous knowledge transfer and compositional reasoning to facilitate efficient learning of new tasks. Help supervise PhD, master and undergraduate students. Job Requirements
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the material properties to fulfill design requirement. Build prototypes and test with industry collaborators. Draft technical report and manuscript for publication. Mentor phd/FYP students Job Requirements: PhD
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, public policy, digital technologies and sustainability and with relevance to Asia. The ideal candidate will have: - a completed PhD by 2024 in public administration, public management, public policy
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the principal investigators in industry coordination, reporting, and other research matters Job Requirements: Possess a PhD degree in Materials Science and Engineering, Chemical Engineering, or other relevant
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development, computer engineering or relevant domain; a Master or PhD degree will be a big advantage. Proficiency with developing VR/AR applications in C# with leading game engines (Unity 3D). R&D experience in
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Conduct one or more high throughput assays, analyse and evaluate outcomes Provide regular communication with the industry partner and other stakeholders Key Competencies: Minimum of PhD and 10 years post
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/WAXS and thin film techniques. Write up experimental reports and paper sections in accordance to the work done. Fulfil any other assigned duties as needed. Job Requirements PhD in Materials Science