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-doctoral Fellow in the Division of Applied Oral Sciences & Community Dental Car Applications are invited for appointment as Post-doctoral Fellow in the Division of Applied Oral Sciences & Community Dental
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., MATLAB, Python) is required. 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
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit the website at https://www.polyu.edu.hk/dsai/ for more information about DSAI. Duties The appointee will be required to: (a
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. Electrical signals captured from the brain of mice while they engage in different behaviors such as perception, learning and execution of tasks, as well as social interactions are analysed using advanced
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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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development such as the use of EdTech, art-tech, interdisciplinary learning, cross-cultural studies, and performance and pedagogical research. A key component of the project includes a new 5-6 year music
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are encouraged to apply. A successful candidate will be fully supported by the Hong Kong Governmental Research Talent Hub scheme (https://www.itf.gov.hk/en/funding-programmes/nurturing-talent/research-talent-hub
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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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English and Chinese Able to work independently and in a multidisciplinary team Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial