332 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions
-
and artificial intelligence. This exciting position is part of a larger initiative within the NTU College of Computing and Data Science and LKC School of Medicine, where we are pioneering efforts
-
● PhD (or Master’s with strong relevant experience) in Bioinformatics or a related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology
-
, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields. You will be an integral member of an inter-disciplinary
-
highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
-
computational modelling, with experience in CFD (e.g., OpenFOAM, ANSYS Fluent, FDS, or equivalent). • Knowledge of battery systems, thermal runaway, combustion, or fire science is highly desirable
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
reporting and laboratory safety coordination. Key responsibilities Research execution (primary responsibility) Plan and conduct laboratory and/or computational experiments under the guidance of senior
-
Job Description Job Alerts Link Apply now Research Fellow (Robotics/Mechatronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Mechanical Engineering
-
Job Description Job Alerts Link Apply now Research Fellow (PFAS detection and removal) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Civil and Environmental