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, LLM, Stata, Python, or R; (f) have track record of publications in high-quality international journals or demonstrated potential for future publications; and (g) have experience in collaborative
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’ experience in epidemiology, data science, data analysis, or data management field. Proficiency in analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken
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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent
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minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine
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analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken and written English and Chinese (including both Cantonese and Putonghua). Shortlisted candidates
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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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. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train
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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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research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading
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neuroscience (23240033) Understanding how adaptive and maladaptive behavior emerges from the operation of neuronal circuits is a central topic across different sub-disciplines within neuroscience. Our