60 machine-learning "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions at THE UNIVERSITY OF 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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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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, or a related field. Candidates must possess relevant research experience in probability, stochastic analysis, and optimization. Applicants with knowledge in machine learning, as well as a track record
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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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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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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
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, university professors and their students, administrators, other staff, the general public, and other HKU and HKMoA/LCSD stakeholders. Teach not less than one and up to two courses per year, and offer one
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have opportunities to mentor, collaborate with doctoral students, and supervise junior research staff on their projects. For more information on the Lab, please visit the Lab webpage at https