Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches (e.g., machine learning, Bayesian statistics) and
-
surveillance and national preparedness for effective disease outbreak management programme. Qualifications · PhD in Medical/Clinical Laboratory Science, Biomedical Sciences, Virology or equivalent degree
-
scientific seminars, and have access to excellent facilities. Qualifications Candidates should hold undergraduate and PhD degrees (or be in the final stages of obtaining their PhD) in life sciences, biophysics
-
conducting experiments. Secondary duty includes administration support, such as managing possible student assistants. Qualifications • PhD degree with a solid training in mathematics and quantitative
-
are seeking for a full-time Postdoctoral Fellow to work on projects in the area of household finance, investment, and financial literacy. The project is part of a large 5-year research program (2024-2028) which
-
. This position is renewable. Requirements: PhD in a relevant discipline (e.g., Education, Psychology, Data Analytics in Social Sciences) Applicants with Master’s Degree in a relevant discipline with suitable work
-
: PhD in in a relevant discipline (e.g. Data Science and Analytics, Education, Psychology, Social Sciences) Applicants with Master’s Degree in relevant discipline are also invited to apply Experience in
-
We are seeking for a full-time Postdoctoral Fellow to work on projects in the area of household finance, investment, and financial literacy. The project is part of a large 5-year research program
-
lecturing, small-group teaching, and tutoring of undergraduates and graduate students. Job Requirements: Essential Criteria Candidates must have a PhD (or be near completion) in Computer Science
-
to the work described herein. Qualifications Job Requirements: • PhD in Biostatistics, Bioinformatics, Computational Biology, or other related fields. • Strong foundation in statistical modeling, machine