582 data-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
intelligence and data analytics for ATM, urban aerial transport systems, regional ATM modernization, exploratory studies on emerging technologies, and talent development through PhD programs. The institute aims
-
billing information, special requests, and guest preferences are captured at the point of booking. Maintain up-to-date knowledge of room inventory, rates, packages, promotions, and special offers
-
. The key responsibilities include the following: Participate in lab work and support on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc
-
that foster entrepreneurship Ensure Student Club follows BTU’s governance framework In-charge of Data Management and Administration for the Undergraduate Team Responsible for data management and act as PDPA
-
experience in leveraging data systems to inform decision-making. Excellent communication, negotiation, and stakeholder management skills, with the ability to advise and mentor young adults from diverse
-
for accuracy and completeness; follow up on discrepancies or missing information. Liaise with requestors to resolve posting errors or fund insufficiency issues. Coordinate with system support teams on RPA and
-
/departments to share painpoints, identify requirements, implement changes, and ensure smooth integration with existing systems. Propose improvements in areas of work related to One-Stop scope, leveraging data
-
stakeholders in ensuring all relevant job and internship opportunities are promptly shared with MSc students; Track, update and complete information and documentation on employment of MScs; Champion a culture of
-
enhancement or adult education highly advantageous. A good understanding in the areas of business development, customer services management, business operations and use of data to support decision making. Able
-
advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable