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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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and alter the characteristics of turbulence Job Requirements: Bachelor’s degree in physics Familiar with computer sciences, HPCs, handling large amounts of data, and data analysis Background in
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robotics that works in the small scale and delivers large motion and deformation as the final goal. Key Responsibilities: The Research Fellow will work on a cross-disciplinary project at the intersection
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possibilities of extension) at the Science of Learning in Education Centre (SoLEC) . Project Title: Cerebrovascular Health, Adult Learning, Resilience and Mechanisms: CHARM Study Project Information: As part of
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. Demonstrated experience in managing large-scale data sets and conducting health-related research studies. Strong analytical skills with proficiency in statistical software and data analysis tools, particularly
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, computer science, or a closely related field Applicants holding a master’s or doctoral degree are preferred Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs
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, computer science, or a closely related field Applicants holding a master’s or doctoral degree are preferred Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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they regulate large protein assemblies involved in mitosis, immune signalling, and protein homeostasis. This role is ideal for someone who enjoys both hands-on scientific work and the organizational side
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the SG100K team to shortlist participants for recruitment Run focus groups to get user feedback on procedures and concerns Check data flows, analyze the data to inform future large-scale implementation Write