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Development and Analysis Train and benchmark unimodal (image-only) and multimodal (image + questionnaire) models (e.g., ResNet, ViT, BERT); and Implement explainability and feature attribution methods (e.g
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, such as cell culture, flow cytometry, cell sorting, immunohistochemistry staining and data analysis for single cell sequencing. Candidates must exhibit a strong command of written and spoken English, and
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applicants with expertise in techniques relevant to cell biology and molecular biology, such as cell culture, flow cytometry, cell sorting, immunohistochemistry staining and data analysis for single cell
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Sciences, or related disciplines, with relevant work experience in cancer immunotherapy, cancer biomarker analysis and drug testing, as well as an excellent track record of publications. Applicants should be
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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced
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installations”. They will be required to: (a) assist in literature review; (b) develop the system platform; (c) assist in user studies (e.g. experiment design, data collection and analysis) to evaluate
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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling
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management. They will be required to: Post 1 of Research Assistant (a) conduct mechanical design and analysis for innovative space applications; (b) source and select components for research prototypes
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members. Faculty members are active in securing research grants concerning various aspects of translation history, theory and practice, increasingly with a digital component. Applicants should (i) possess a