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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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embedded control systems. Responsibilities include relevant modeling, simulation, and troubleshooting. The appointees will collaborate with software teams, ecology specialists, and biomedical experts
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, including the validation of both standard and custom implant tests through computational simulation and mechanical testing. Develop computational models to support the design and application of patient
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., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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magnets, topological order, quantum phase transitions beyond Landau-Ginzburg-Wilson paradigms, etc. The recent works of Prof. Meng and the group can be found at https://quantummc.xyz/publication. A highly
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applications will start as soon as possible and continue until May 31, 2026, or until the post is filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409855
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Landau-Ginzburg-Wilson paradigms, etc. The recent works of Prof. Meng and the group can be found at https://quantummc.xyz/publication. A highly competitive salary commensurate with qualifications and
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only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk ). A thesis abstract (up to 1
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accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. They should also arrange 2 referees