54 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions in Hong Kong
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, Research Staff Full-time/Part-time Senior Research Assistant (holding the functional title of School Development Officer) in the Centre for Information Technology in Education within the Faculty of Education
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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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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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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technologies, including drones, robotics, and self-driven laboratories. The appointees will engage in research on the development of intelligent hybrid power architectures to support autonomous operation in
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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University is committed to nurturing and developing students’ talents and creating applicable knowledge to support social and economic advancement. Applications are invited for : Research Assistant Professor
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docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity
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/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis
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experience with marine restoration ecology. A track record of question-driven research, as evidenced by publications or other research outputs commensurate with career stage, is expected. The successful