Sort by
Refine Your Search
-
and machine learning Deep understanding and rich hand-on experience in deep networks Good communication skills in English Background knowledge in computer vision and/or point cloud processing. Prior
-
programming skills Maturity and capacity to begin an independent research career Deep expertise in econometrics, machine learning and deep learning models and algorithms Good communication and time management
-
captioning. Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods and theory. Development of computer vision methods
-
language processing, deep learning, or related areas. Strong programming skills in Python and PyTorch and a good command of English (both spoken and written) are also required. Prior experience mentoring research team
-
validation. Job Requirements: A PhD Degree in AI/Computer Science, Aerospace Engineering, Mechanical Engineering, etc. Strong background in deep learning, machine learning, and/or image processing. Relevant
-
in the area of machine learning (ML)/deep learning (DL). The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation. It is
-
business knowledge with deep Asian insights, preparing students to lead Asian businesses to international success and to help global businesses succeed in Asia. For more than 50 years, NUS Business School
-
university and was founded with the vision to lead in innovative university education by integrating learning, industry and community. SIT espouses an applied learning approach and offers degrees that focus
-
(SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise
-
the ENG Cluster undertake funded industry-relevant research, teach courses in civil, mining, electrical, mechanical, material, marine and systems engineering as well as supervise graduate industry masters