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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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Mathematics, particularly in research areas such as Applied Analysis/Computational Mathematics/Mathematical Modeling/Probability and Statistics, along with excellent professional and research experience; and 3
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
treatments. Duties and Responsibilities Design and conduct experiments involving molecular biology, genetics, and gene editing (e.g., CRISPR/Cas9) to model orthopedic pathologies. Manage and perform functional
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possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
) to model orthopedic pathologies. Manage and perform functional studies using animal models (e.g., transgenic mice) to evaluate disease progression and therapeutic efficacy. Utilize induced pluripotent stem
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plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a collaborative project. For further information, please contact Professor Stephanie Ma at stefma
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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Stephanie Ma on research projects relating to cancer cell plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a collaborative project. For further
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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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modeling, and cryo-ET. Candidates should exhibit a strong command of written and spoken English, and effective communication skills. Additionally, they should display self-motivation, innovation, and the