Sort by
Refine Your Search
-
photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. Position Available: Research Fellow, Coding Theory Key
-
-POSITIVE), we will code and analyse children and parents’ behaviours when presented with a challenging task after an easy task. Objective 3 (Study 3): Investigate how early achievement-related experiences
-
coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
-
C++ or Python coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array
-
letter describing research interests, relevant experience, and career goals Transcript (unofficial is acceptable) Sample code (optional) Sample paper (optional) Shortlisted candidates will be contacted
-
analysis and basic coding (e.g., Python, R, MATLAB). Strong organisational skills and the ability to work independently with minimal supervision. Excellent written and verbal communication skills. Strong
-
education projects Has published in reputable academic/scholarly journals Background in technology and ability to code in Python Ability to write academic papers Responsibilities: Liaison with school and MOE
-
in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
-
highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
-
opensource software. Contribute to academic writing, data visualization, and presentations. Website development and maintenance of code/documentation repositories. Design and lead an independent research