85 parallel-processing Fellowship research jobs at National University of Singapore in Singapore
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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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for Quantum Technologies (CQT) 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
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Description: About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum
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with the Boulton lab at the Francis Crick Institute) to explore the complex functional interaction between these processes. This role represents a compelling opportunity to contribute to groundbreaking
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instrumentation and sample processing workflows Ability to work independently, manage multiple projects, and contribute actively to collaborative research Excellent organizational skills and attention to detail
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, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis and result tabulation. Phase 5 – Research communication and writing of papers. The level of responsibility and
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) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets. Plan, supervise and
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the term of their appointment. In addition to annual leave, the Fellow may apply for leave to undertake research and fieldwork overseas, subject to the approval of the CIL Director. Application Procedure
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and Computer Engineering Employee Referral Eligible: No Job requisition ID : 28367 Apply now
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-Computer Interaction, Health Informatics, Data Science, or a related field. • Demonstrated experience in the design and evaluation of digital health or mHealth interventions, ideally involving real-time data