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Field
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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, Biomedical Engineering, or Computer Science. Preferred Qualifications: ● Prior research experience with PET imaging. ● Prior experience with clinical research in neurocognitive disorders
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, Biomedical Engineering, or Computer Science. Preferred Qualifications: ● Prior research experience with PET imaging. ● Prior experience with clinical research in neurocognitive disorders
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required to scale massive biomedical imaging models efficiently over distributed GPU environments. Key Responsibilities Understand CryoSTEM Microscopy: Become deeply familiar with the physics and operation
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stage of an academic or biomedical research career. Key Responsibilities: 20% – Experimental Research, Project Development, and Data Analysis · Design, plan, execute, and analyze experiments
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Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models
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research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory
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quantitative microscopy. Ideal Candidate Qualifications: Candidates must have recently obtained (or will obtain before starting) a PhD from a biomedical research background. Experience in one or more areas of
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Mechanics, Biomedical Engineering, or closely related Minimum Requirements PhD degree in Mechanical Engineering, Computational Mechanics, Biomedical Engineering or closely related field Desired Qualifications
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including