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behaviour in physiologically relevant environments. Data analysis, scientific documentation, and preparation of manuscripts, reports, and conference presentations. Supervision or co-supervision
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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, conferences and ARI social events. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us . Terms and conditions, according
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into account when ranking the candidates. the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis. CV transcripts and diplomas
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in analysis of physiological data, MRI imaging and statistical analysis of crossover design studies and epidemiological datasets. Manage own research and administrative activities. Publish research
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal institution systems may be submitted. Click here for detailed information about
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experiments using tissue and cellular models of cardiomyopathies (this may require working weekends at times) Perform detailed analysis and interpretation of data collected through various research methods
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funding, the Centre brings together a vibrant community of biomedical scientists, clinicians, engineers, physical scientists, and data experts who share a mission to transform the lives of people living
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applicant will participate in ongoing projects on microorganism motility that are relevant in a range of ecologically significant contexts, combining experimental biophysics, quantitative data analysis and