73 algorithm-development "https:" "IMT Atlantique" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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. The appointees will design and prototype mechanical components of portable automated devices. They will also be responsible for developing and integrating electronic circuits, camera modules, various sensors, and
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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
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) We now invite applications for the captioned post. Duties and Responsibilities Assist in a collaborative research project on the development and widespread implementation of a telerehabilitation
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. They will also be responsible for developing and integrating electronic circuits, camera modules, various sensors, and embedded control systems. Responsibilities include relevant modeling, simulation, and
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philosophy, social philosophy, aesthetics, and other cognate areas). This appointment will be affiliated with the Hong Kong Ethics Lab: https://www.hkethicslab.com . The post-doctoral fellow is expected
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professional development. The University only accepts online applications for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload an up-to-date C.V