Sort by
Refine Your Search
-
to significantly reduce transport delays, improve material flow, and enhance coordination between logistics and manufacturing processes. c) Digital Twin System: We aim to construct a digital twin framework that
-
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
-
the Department of Microbiology, School of Clinical Medicine. Applicants should have a Ph.D. degree in the disciplines of Virology, Immunology and Medical Chemistry; expertise in metabolic signaling, BSL3
-
social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before
-
. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 8 weeks after submission of application may consider
-
advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
-
slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
-
availability. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not
-
familiar with health systems, healthcare decision-making processes in Hong Kong or comparable Asian settings; Have proficiency in qualitative data analysis software (e.g., NVivo) and relevant statistical
-
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