Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Education
- Science
- Arts and Literature
- Materials Science
- Biology
- Mathematics
- Social Sciences
- Electrical Engineering
- Design
- Psychology
- Humanities
- Linguistics
- Law
- Chemistry
- Environment
- Earth Sciences
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
and mitigations. The candidate is expected to conduct both theoretical development of methods and experiment design to validate the developed methods. The candidate is expected to work with other
-
expected to undertake teaching and educational responsibilities for the training of medical students and postgraduate research students. Teaching methods will include extensive use of team-based learning and
-
dynamics, bubble formations, and trader behavior. Using quantitative methods, econometrics, and statistics, we aim for innovative insights into asset market mechanics. In this role, you'll manage research
-
learning techniques relevant to energy forecasting. 3) Technical Proficiency Skilled in tools such as Python, R, MATLAB, SQL, and Excel; familiarity with energy modelling software is a plus. 4) Domain
-
to developing novel methods and techniques, exploring diverse applications, and investigating use and systems. Research that connects with SMU’s research focus areas in Digital Transformation, Sustainable Living
-
skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research
-
. Teaching methods will include extensive use of team-based learning and e-learning. The appointee is expected to contribute to integration of the science relating to the broad area of Neuroscience
-
Requirements: Has (or expecting) a PhD degree in the Social Sciences or the Science, Technology, Engineering, and Math (STEM), NOT necessarily in the data science or related fields. Has empirical and
-
strategies to ensure collision-free navigation in dense settings. The ideal candidate will have a strong background in robotics, software development, mechatronics or related fields, and will contribute
-
thermal management technology Skillfully use computational software to conduct multiphysical numerical analysis and model built-up for battery system Prepare technical requirements and design verification