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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University
- King Abdullah University of Science and Technology
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Field
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related to staff position within a Research Infrastructure? No Offer Description At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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healthcare challenges, particularly in varies areas related to allied health, nursing and community health. Conceptualize, design and implement innovative projects based on deep understanding of healthcare
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of deep learning, specifically, foundation models, diffusion models is a must. 1) For image/video watermarking: In depth knowledge of AI editing methods and property of generative models. 2)For video
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experimental research involving imaging systems, instrumentation, data acquisition, and quantitative validation is highly desirable. Familiarity with AI/deep learning methods for medical imaging is advantageous
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of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
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leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging
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in close partnership with experimental colleagues across knitted sensor arrays and piezoelectric/triboelectric energy harvesting, developing deep technical understanding of both systems and building
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field with more than 3 years (principal research engineer), 5 years (research fellow) of post-doctoral or industrial experience. Deep understanding of data sharing fundamentals, including availability
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and management, machine and deep learning, as well as a solid understanding of wave phenomena and geophysical data analysis and imaging.