80 finite-element-analysis Fellowship positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
tasks using impedance control Contribute to data analysis of force/torque and kinematic data Integrate key research findings in novel robot impedance control frameworks Publish research outcome in peer
-
. Our multi-disciplinary team has developed the CADENCE D-PHA (Digital Personal Health Assistant), a multi-component mobile health application designed to improve medication adherence. The app aims
-
, spectroscopies and catalysis, including material design and synthesis, structure analysis, catalysis measurement and data processing Good knowledge in Organic Chemistry and Physical Chemistry Experience in
-
a history of publications and other related achievements in reputable scientific journals and conferences. Showcase proficiency in experimental design, data analysis, and interpretation, along with
-
Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will characterize and analysis the thin composite materials and thin film coatings. Key Responsibilities: Support the
-
data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
-
Thermoelectric modulus fabrication Processing, characterization, property evaluation and application of new materials for thermoelectric devices. Synchrotron x-ray data analysis Thermoelectric modulus fabrication
-
, for model training and validation. Perform visual analysis to visualize agent behaviors, emergent strategies, and system-level outcomes. Contribute to: High-impact publications in top-tier AI conference and
-
, with a track record of peer-reviewed publications. Strong quantitative and analytical skills, with experience in data analysis. Ability to work independently and in multidisciplinary teams, with strong
-
Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes