Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, Hong Kong [map ] Subject Areas: Quantum Science & Engineering / Physics Materials Science / Computational Physics / Condensed Matter Theory Appl Deadline: none (posted 2025/11/04 05:00 AM
-
Sep 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
Ref.: 534748 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed
-
-Doctoral Research Fellow in theoretical or computational neuroscience / Post-Doctoral Research Fellow in mouse in vivo experimental neuroscience / Post-Doctoral Research Fellow in molecular experimental
-
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
-
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
-
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
-
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
-
Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit the website at https://www.polyu.edu.hk/dsai/ for more information about DSAI. Duties The appointee will be required to: (a
-
oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic