572 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per
-
(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per
-
data. A team player with a positive working attitude and is willing to learn and adapt. Proficient in Microsoft Office applications, especially Excel pivot tables and formulas. Experience in SAP would be
-
compliance programmes, including data governance and privacy training and awareness activities. 3. Enable Partnerships Foster productive relationships across the University to enhance legal and compliance
-
operational support to University level committees formed for the appointment, reappointment, promotion & tenure of Faculty members. Compile and provide timely, organised and accurate dossier information
-
Environmental Engineering | NTU Singapore Key Responsibilites: Rigorous study design. Wet-lab experiments. Perform in-depth, critical data analyses. Effectively communicate through presentations and high-quality
-
footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. We are looking for a Research Engineer to support innovative research in federated learning and computer
-
education. We are seeking a motivated Project Officer to support laboratory operations and research activities. This role will focus on lab management, data analysis, and providing bioinformatics support to
-
administrative support, and undertake project management responsibilities to ensure the timely and high-quality delivery of project outputs. Key responsibilities: Conduct literature reviews, data collection and
-
data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve