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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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into products and services for Continental through close collaboration with its business units. We are looking for Research Fellows to join our team in Privacy-preserving Vehicle Data Analytics project
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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policy through rigorous research and data-driven insights. Key Responsibilities The selected candidate will contribute to various ongoing and new research projects, with responsibilities including (but not
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The Wee Kim Wee School of Communication and Information (WKWSCI), together with the Earth Observatory of Singapore, is looking for a Research Fellow to make an important contribution to the research