Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
written communication skills in English for research work Preferred Requirements: Experience with deep learning and reinforcement learning algorithms in robotic decision. Familiar with UAV kinematics and
-
The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary
-
to prospective fellows whose ambition is to pursue an academic career - the program is tailored to facilitate such careers. In addition to mentoring in the specific areas of specialization, the CIL Postdoctoral
-
clusters). At least one short sample of published work, preferably in English. Please indicate the name and contact details of at least 2 referees in your application. The closing date for applications is 30
-
should have an outstanding academic record in an accredited PhD program in social psychology, marketing (consumer behavior track), or any related fields. More Information Location: Kent Ridge Campus
-
from basic schlenk technique to computational methods with the Gaussian program. Draft detailed reports conveying experimental results and presenting findings to other scientists. Monitor laboratory
-
to ensure all project deliverables are met. • Design a Natural Language Processing algorithm for identifying Personal Identity Information data. • Design and evaluate privacy preserved Generative AI-based
-
from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed energy deposition technology and
-
techniques. Proven ability to work independently and as part of a collaborative team Excellent written and oral communication skills An interest in joining a future startup is desired Salary and benefits will
-
. • Fluent in English (both written and spoken). More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials Science and Engineering Employee Referral