Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
integration; (b) conduct algorithm research and development in areas such as computer vision, multimodal learning and embodied AI; (c) conduct experiments, data collection and performance evaluation; (d
-
) experience in large model training, knowledge distillation or efficient deep learning algorithm development, foundation model implementation and optimisation; and (c) good communication skills in English
-
; Software Engineering; Systems & Networks; Extended Reality (XR), AR/VR, and Immersive Technologies Security / Digital forensics; Algorithms. Supervise final year projects and capstone projects, provide
-
human-centred collaborative robotic systems, with emphasis on embodied intelligence and shared autonomy; (c) develop algorithms for human intention understanding, multimodal perception and fusion and
-
, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
-
deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images
-
; Algorithms. Supervise final year projects and capstone projects, provide mentorship and academic guidance to students; Collaborate with colleagues to develop or enhance the curriculum, and promote
-
highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
-
computational approaches, including algorithm-guided design, sequence and structure-based analysis, epitope-related studies, and functional evaluation to support antibody development and mechanistic investigation
-
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