Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Responsibilities: Explore the frontiers of intelligent sensing by advancing cutting-edge theories and pioneering transformative technologies. Integrate wireless sensing with Large Language Models (LLMs) to pioneer
-
Responsibilities: To conduct independent research in deep learning theory. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in the project
-
theory and methods. Possess strong analytical and problem-solving skills. Able to communicate well with clinicians and statisticians, both verbally and in writing. Prior experience in teaching courses and
-
to, urban sustainability, urban systems and infrastructures (including smart cities), urban liveability and inequality, and/or novel approaches to urban theory development. We also welcome applicants trained
-
Maxwell’s equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of SRF will focus on developing ab initio theory and developing software to describe and study
-
professional and academic standards worldwide and are responsive to student interests and evolving global needs. Post-graduate programs combine theory and practice, offering MA and PhD by research and a MA in
-
-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and adaptation; reinforcement
-
to, urban sustainability, urban systems and infrastructures (including smart cities), urban liveability and inequality, and/or novel approaches to urban theory development. We also welcome applicants trained
-
: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
-
the growth and development of students’ 21CC; and (3) To build a foundation for a theory of transference of learning and skills across domains by exploring the potentials of AIIBL for cross-disciplinary