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Field
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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of Medicine, is a top-tier department with world-renowned faculty and staff. A full-time Post Doc Fellow position is available in the Imaging Core laboratory, in the Department of Radiology at the University
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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
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About Us Applications are invited for a clinical research fellow in Cardiac MRI to undertake clinical and research focussed on advanced cardiovascular magnetic resonance imaging under
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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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, uncovering novel cellular mechanisms. We employ state-of-the-art techniques in fly neurogenetics, proteomics, molecular biology, RNA biology, multi-omics, and quantitative imaging to investigate circadian
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experience in electrochemical sensor technologies, including surface chemistry, functionalisation, and biomarker detection Proficiency in signal processing, prototype design and integration, and
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and
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stochastic differential equations (SDEs); Extending recent quantum simulation techniques to accommodate non-physical processes found in generative diffusion modeling; Demonstrating a prototype of the quantum
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants