662 data-"https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs in Singapore
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
-
description; A detailed curriculum vitae; 2 published articles or writing samples; and 3 reference letters. We regret that only shortlisted candidates will be notified. For further information about RSIS
-
an emphasis on technology, data science and the humanities. We are looking for a Research Fellow in the Bio-Data Science and Education Laboratory to work on AI in mental health. The role will focus
-
Supervise the collection and maintenance of clinical trial documentation, including data records and equipment maintenance logs Ensure compliance with clinical inventory management procedures Develop and
-
(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
-
. • 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
-
quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as STATA. Proficient with Microsoft Office Suite. Possess strong verbal and written communication
-
an emphasis on technology, data science and the humanities. We are seeking accomplished and highly motivated Research Assistant/Associate to join an Industry Alignment Fund - Pre-Positioning (IAF-PP) grant
-
data cleaning and basic statistical analyses Locate relevant articles through literature search Evaluate research articles using premade rubrics Identify and extract necessary data from research articles
-
reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong