Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
acquisition and analysis Good written and oral communication skills Ability to work collaboratively in a fast-paced research environment Experience working with and mentoring PhD, Master, and undergraduate
-
transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis Good written and oral communication skills Ability to work
-
background in AI, deep learning, and data analytics. Experience with multimodal data integration and analysis. Proficiency in programming languages such as Python, MATLAB, or R. Experience with signal
-
skills in first-principles electronic structure calculations and atomistic simulations. Proficiency with Linux and programming for workflow automation and data analysis. Working knowledge of data-driven
-
on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
-
to support personalized lifestyle interventions and clinical decision-making for chronic disease management. Perform large-scale data integration and analysis, ensuring data quality, security, and compliance
-
of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
-
microclimate and connectivity data provided by NUS Ecology and Geospatial teams. The Researcher may also be enrolled as a part-time PhD or Master’s student at NTU, in EEE or a related programme. Key
-
mentor undergraduate and postgraduate students in electrochemical testing and data analysis. Support laboratory operations, including equipment setup, maintenance and safety compliance. Job Requirements
-
for optical and electrical characterization, including fiber-based systems, free-space optics, and cryogenic platforms。 Perform data analysis and performance evaluation of integrated photonic devices and