Sort by
Refine Your Search
-
analytics and mathematical modelling. The Research Assistant/ Associate will play a critical role in the development of HIPER’s growing research agenda to support health policy and services research in
-
projects in both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R
-
. The PI has projects in both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be
-
, Statistics, Computer Science, Applied Mathematics, or equivalent. Proficiency in statistical software (Python or R) and relevant visualization techniques. Experience in conducting experiments, whether in field
-
, to work on a number of projects. Qualifications • Bachelor or Master degree in Economics, Mathematics or equivalent • Familiar with the Economic Development of Asian countries and economies, and their
-
science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that
-
, computer science, physics or applied mathematics. • Well-rounded research profile and ability to communicate research. More Information Location: [[Kent Ridge Campus]] Organization: [[National University
-
as mathematics, science or engineering. - Prior experience in grant or research administration would be advantageous. - Demonstrates strong proficiency in logical analysis, writing and articulation
-
science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
-
science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate