426 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
-
human behavior in cities. Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles
-
18 Oct 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Singapore Application
-
record is as one reference Proficiency in programming tools (e.g., Python, MATLAB, or C++) for data processing and model development is preferred. Proficiency in English and good communication capabilities
-
Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
-
Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with
-
. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
-
for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society. The CLIC program is seeking One full-time Research Fellow (with potential opportunities
-
maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
-
supervise graduate students. Job Requirements: Ph.D. in Electrical Engineering, Computer Science, Statistics, or other related fields. Familiarity with machine learning and computer vision frameworks. Good