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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form of a report and present in international peer-reviewed conferences
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early intervention alerts in aquatic environments. Integrate open-source and commercial aquatech tools (e.g., air and underwater imaging, biosensor platforms) to build proof-of-concept detection pipelines
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel
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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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neurobiology and mouse models is advantageous. Have experience with in vivo calcium imaging (preferably 2-photon), stereotactic surgery and drug delivery, gene expression analysis (e.g. snRNAseq) and antisense
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. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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Technological University, NTU, and National University of Singapore, NUS, and hosted by NTU. IDMxS is focused on development of core science to drive a paradigm shift in molecular detection and analysis to link
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University of Singapore is a multi-disciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through