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and applying novel statistical methods tailored to emerging research questions in biology and medicine Your Profile Master's degree or PhD in (bio-)statistics, mathematics or a related discipline Sound
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statisticians across SingHealth, NUS and Duke University. Mentor and supervise PhD students, promoting local capacity and excellence in methodology and translational AI. Actively contribute to grant acquisition
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The Department of Economic History is a research-intensive department that employs about 80 people: researchers, teachers, technical/administrative staff, and Ph.D. candidates. The department has a large PhD
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. Required Minimum Qualifications: MS in statistics or a closely related field by the time of appointment Teaching experience at the college or university level Preferred Qualifications: PhD in statistics or a
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Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process. Department: Mathematics & Statistics Support
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program. Preferred qualifications: Currently enrolled in a Master’s or PhD program. Enrolled or completed educational classes healthcare related. Basic experience in an office environment. Basic statistical
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, bioinformatics, statistical analysis, and data visualization. The Postdoctoral Research Scientist is expected to perform the aforementioned tasks under the guidance of the PI, provide preliminary analyses
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modelling techniques, and contributing to dissemination and impact activities. You will have a PhD in a relevant field, experience of independent research, and publications in respected journals within
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, mathematics, computer science, and statistics. Your work tasks This PhD project falls under Research Thrust RT2 on Physics-based modeling and simulation. The objective of the PhD study is to explore and address
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administration and organisation. We are looking for a/an University Assistant Prae Doc (Environmental Economics) 37 Faculty of Business, Economics and Statistics Startdate: 01.06.2026 | Working hours: 30