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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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at least two of the following areas: AI/machine learning for biological modeling (e.g., virtual cell, foundation models, graph neural networks, or multimodal omics integration). Epigenetics (DNA methylation
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learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent leadership, organizational, project management and problem-solving skills. Strong interpersonal
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Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models
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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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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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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 programme that includes an in
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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