Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
candidature-related processes such as leave of absence, programme withdrawal, and programme changes, and ensures accurate and timely maintenance of student particulars and enrolment status records
-
, ANGEL creates and deploys impactful green digital technologies for global sustainability. ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and
-
. French Double Degree Programme (FDDP) • End to end management of the programme • Prepare and arrange for information and interview sessions for applicants • Source and arrange for French language immersion
-
of apprentices who have embarked on this award-winning programme. To complement the flagship AIAP, AIAP Foundation was launched—an AI-powered learning platform designed to prepare aspiring apprentices with
-
predictive modeling and can use critical thinking to assist with clinical trial design. • Familiar with data sets, computing, statistics, and writing protocols. Recruitment is open immediately and will
-
on CAD and/or Finite Element Analysis for design and drawing of components. Assist on project and grant management support for the co-directors. Job Requirements: Ph.D. in Materials Science, Mechanical
-
the supervision of the Principal Investigator (PI) or his/her designate. The RA will be able to: Establish, implement and maintain lab safety management system; Provide administrative support for routine lab
-
airport operations and air traffic flow. Design and implement predictive models for runway capacity, taxiway configuration transitions, and gate related ATM performance indicators using real-world data
-
Requirements: MSc (Research Associate) or PhD (Research Fellow) in Mathematics or Computer Science or closely related fields. Ability to design and implement advanced algorithms and data structures. Independent
-
, data managers, and NUS IT toward making the data safely and securely usable to a wider audience; Curate and repackage NUS Data into standalone data products that can be used with minimal assistance by