212 machine-learning "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin" research jobs in Hong Kong
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Faculty of Arts (Ref.: 534972), affiliated with the AI & Humanity Lab at the University of Hong Kong (https://ai-humanity.net ), to commence as soon as possible. The initial appointment will be for two
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function of RNA capping. For further information regarding the research projects in Xia's lab, please visit the website at https://biol.hkbu.edu.hk/people/academic_staff_detail/92/ . Requirements: Applicants
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, please visit the website at https://biol.hkbu.edu.hk/people/academic_staff_detail/92/ . Requirements: Applicants should possess a PhD degree. Ideal candidates should be highly motivated with a strong
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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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strong publication record (first-author papers in high-impact journals preferred). Demonstrated expertise in at least two of the following areas: AI/machine learning for biological modeling (e.g., virtual
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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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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invited for interview 8 weeks after submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https
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at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy . The University reserves the right not to make an appointment for the post advertised, and the appointment
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qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical