162 parallel-and-distributed-computing-phd-"Multiple" Fellowship positions at National University of Singapore
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A well-qualified candidate should: (1) be passionate about research; (2) have a PhD degree in Chemical Engineering or Chemistry, or at least, have submitted PhD thesis; (3) be an expert of chemical
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expansion of its programme on international environmental law with an emphasis on climate change law and policy. The objective of the position is to engage in research on emerging issues related
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focuses on mechanical and morphological evolution of the insect heart, as part of the recently funded Human Frontier Science Program (HFSP) grant awarded to Prof. Young’s lab. The heart is one of the first
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A well-qualified candidate should: (1) be passionate about research; (2) have a PhD degree in Chemical Engineering or Chemistry, or at least, have submitted PhD thesis; (3) be an expert of chemical
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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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. Additionally, direct interaction with suppliers is part of the job as well as preparing manuscripts and presenting work at conferences. Qualifications • Possess a PhD in Electrical Engineering • Experience
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invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of
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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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high performance lithium sulfur batteries with high energy density and cycling ability. Qualifications The RF shall have PhD degree, in advanced materials, materials physics and materials chemistry, and
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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