Sort by
Refine Your Search
-
the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
-
) (to commence as soon as possible for 12 months, with the possibility of renewal subject to satisfactory performance.) Applicants should possess a Ph.D. degree in Life Science, Public Health, Statistics
-
), knowledge of medical statistics and skills of common statistical analysis software. The appointee will be responsible for supervising, coordinating and developing research projects on health and primary care
-
possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics, Statistics, Computer Science, or a related discipline. Priority will be given to those with
-
satisfactory performance.) Applicants should possess a Ph.D. degree in Life Science, Public Health, Statistics, Computer Science, or related disciplines. They should have an excellent command of written and
-
record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
-
, Statistics, Computer Science, or a related discipline. Priority will be given to those with an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer
-
quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
-
with a focus on research in Sociology, Economics, Social Work, Social Policy, Social Statistics, or a related discipline. They should have a strong background in robust and innovative social science
-
independently as well as in a multidisciplinary team. Research experience in analysing infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical