365 Environment-"https:"-"https:"-"https:" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
multidisciplinary research environment. Entry Level candidates with strong academic achievements and relevant research experience are welcome to apply. We regret to inform you that only shortlisted candidates will be
-
, interpersonal, and presentation skills. Experience in the higher education or public sector environment will be an advantage. We regret to inform that only shortlisted candidates will be notified. Hiring
-
, to maintain a safe and compliant working environment. Identify opportunities to improve existing processes and digitalise workflows, and recommend cost-effective solutions for facilities operations. Perform any
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
of advancing trustworthy AI and cyber security research, with a particular focus on the safety and access control of autonomous LLM agents. The Research Associate will conduct research on environment-aware, task
-
hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance
-
or large organisational environment. Experience in managing administrative operations, facilities coordination, project coordination and stakeholder engagement. Strong organisational, analytical and
-
are welcome to apply. Candidates with a Polytechnic diploma and relevant working experience may also be considered. Knowledge of academic administration processes within a higher education environment, student
-
collaborations. Key Responsibilities: Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings. Maintain a safe, highly organized laboratory environment by managing
-
computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications for atmospheric