191 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at National University of Singapore
Sort by
Refine Your Search
-
, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl@nus.edu.sg for further details and to arrange
-
. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
-
discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
-
reports. - Uphold research integrity and ensure safety compliance. - Perform other related duties incidental to the work described therein. Interested candidates please submit a detailed curriculum vitae
-
research methods (e.g. interviews and ethnography) alongside knowledge of Geographic Information Science applications (e.g. ArcGIS, QGIS) will be an advantage Skills in using qualitative analysis software
-
Information Science applications (e.g. ArcGIS, QGIS) will be an advantage Skills in using qualitative analysis software will be an advantage Conversational proficiency in one or more of the following languages central
-
background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor's degree is required, a master's degree in one
-
practices in the fields of biology. Principles, techniques and terminology used in cancer biology. Methods of scientific research and relevant scientific theories. Appropriate computer operations, software
-
on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a Research Fellow under a new programme centered on the culture and politics of social media
-
• Knowledge of Geographic Information Science and spatial tools (e.g. ArcGIS, QGIS); experience with spatial visualisation will be an advantage • Core Microsoft Office skills are expected • Excellent