172 computer-science-programming-languages-"UCL"-"UCL" Fellowship positions at National University of Singapore in Singapore
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from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed energy deposition technology and
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with a team, have an investigative nature and attention to detail; have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and have good communication skills with patients and
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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, teaching and research relating to ethical and legal aspects of healthcare and biomedical sciences. We are responsible for the development and delivery of the Health Ethics, Law and Professionalism programme
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highly motivated and technically skilled Post-doctoral Research Fellow to join an interdisciplinary research programme focused on advancing mixed-mode ventilation (MMV) in the tropics. The aim is to
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to prospective fellows whose ambition is to pursue an academic career - the program is tailored to facilitate such careers. In addition to mentoring in the specific areas of specialization, the CIL Postdoctoral
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and eye disorders. The De Paola Lab at Duke-NUS
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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health, Epidemiology, Data Science/Analytics, Psychology, or other related disciplines • Minimum 3 years of research experience, preferably in program evaluation, public health or applied social science
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically