469 postdoctoral-image-processing-in-computer-science-"EPIC" Fellowship positions in Singapore
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian This joint research project is between Nanyang Technological University
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (organic chemistry and electrochemistry) Posting Start Date: 13/08/2025 Job Description: Job Description A postdoc position is
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in Electrical and Electronic Engineering, Material Science, Physics or related disciplines. Experience in operating CVD systems for growth of 2D and other nanomaterials. Experience in nanomaterial
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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to prospective fellows whose ambition is to pursue an academic career - the program is tailored to facilitate such careers. In addition to mentoring in the specific areas of specialization, the CIL Postdoctoral
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administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, or a social science related discipline. Strong foundation in survey
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of automotive grade application driven adhesives such as gluing, optical bonding, adhesive tapes, etc. Technology development from the perspective of chemical processes involved in product components
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. The team also assesses and develops emission control scenarios to provide science-based policy solutions for a sustainable environment in the present and future years. Key Responsibilities: The position will
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate