441 parallel-and-distributed-computing-phd-"Multiple" Fellowship positions in Singapore
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
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scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a closely related
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involve algorithm development, simulation, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in Mechanical Engineering, Automation, Control
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Draft, submit and revise manuscript on metagenomic analysis for publication Requirements: PhD in related field; Environmental or Biological Sciences Hands-on experience in geothermal microbial ecology
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Roles Lead a retrospective study utilizing a decade of health data to create a comprehensive HRI database. Investigate the distribution and determinants of HRI by applying epidemiological methods
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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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current and emerging trends in data science. Committee Membership: Participate in the DFM research committee. Qualifications Educational Background: Master’s or PhD in Data Science or a related field
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fabrication High frequency characterization of fabricated passive devices Work together with collaborators on waveguides design Draft research papers for academic journals Mentor new manpower (PhD or FYP
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other tasks required by the principal investigator. Job Requirements • A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management