64 machine-learning "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions in Hong Kong
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Ref.: 533588 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow/Senior
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. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding performance in Physics or related
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anticancer therapeutics. The appointee will have a good opportunity to learn and perform state-of-the-art research for drug target identification and drug development. Enquiries about the duties of the post
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chemoproteomics to discover new druggable hotspots in liver cancer, which can facilitate the development of novel anticancer therapeutics. The appointee will have a good opportunity to learn and perform state
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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machine learning and operations research. b) The applicants are expected to deliver research outcomes to our industry partners, to support practical applications in semiconductor manufacturing. c
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superconductivity. Recently, they are particularly interested in the study of quantum metric effects of flat band materials. More information on Prof Law's research group can be found at: https://phlaw.ust.hk
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the Lab, please visit the Lab webpage at https://neurotlee.hku.hk/ . For enquiries about the position, please contact Professor Tatia Lee at tmclee@hku.hk . A highly competitive salary commensurate with
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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample