154 software-formal-method-phd Fellowship positions at National University of Singapore
Sort by
Refine Your Search
-
Listed
-
Field
-
through high-quality journal papers and presentations at international conferences. • Support the supervision and mentoring of PhD students. • Contribute to teaching and outreach activities. Job
-
of a similar nature that are delegated by the PI. Qualifications The applicant should: Hold a PhD or Master’s degree in Epidemiology/Biostatistics related disciplines; Have experience using data
-
. For Research Fellow and Senior Research Fellow: Hold a PhD in a relevant field such as medicine, public policy, public health, sustainability and environmental sciences, or education. Postdoctoral experience is
-
various assessment methods and advanced statistical techniques, including ecological momentary assessments (EMA), ecological momentary interventions (EMI), micro-randomised trials (MRT), and other trial
-
machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy. Research directions will be flexible and shaped according to mutual
-
execution of research activities. • Perform additional duties as required by the project leader or co-leads. Qualifications ● PhD (or Master’s with strong relevant experience) in Bioinformatics or a
-
execution of research activities. • Perform additional duties as required by the project leader or co-leads. Qualifications ● PhD (or Master’s with strong relevant experience) in Bioinformatics or a
-
new models of examining the data To provide teaching to junior staff in the lab in neuroscience-related research methods, especially in pre-processing and processing of EEG data from infants/children
-
Professor Azra Ghani at a.ghani@nus.edu.sg. Qualifications • A PhD in infectious disease epidemiology, mathematical modelling, statistics or related subject or a similar quantitative discipline • Experience
-
stakeholders such as ministries of health, multilateral organizations, and NGOs. Explore and pursue grant opportunities to expand the research portfolio and impact. Qualifications A MD or PhD in statistics