45 machine-learning-"https:" "https:" "https:" "RAEGE Az" positions at HONG KONG BAPTIST UNIVERSITY
Sort by
Refine Your Search
-
-cell imaging. The incumbent(s) will learn cutting-edge techniques in immuno-oncology studies and drug discovery, collaborate with experts in the field, and develop critical research skills. For more
-
interdisciplinary projects of developing new cancer immunotherapy, using novel 3D tumor organoid models and 3D single-cell imaging. The incumbent(s) will learn cutting-edge techniques in immuno-oncology studies and
-
). More information about the Department can be found at https://chem.hkbu.edu.hk/ . This is a tenure-track position with an initial appointment to be made on a fixed-term contract of three years. Re
-
-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and
-
are encouraged to approach these topics from perspectives such as human-machine communication, mobile communication, and health communication, employing mixed methodologies (e.g., experimental, computational, and
-
behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach these topics from perspectives such as human-machine communication, mobile communication, and health
-
faculty positions on tenure-track. Assistant Professor (Computer Science) (25260312) The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels
-
to apply. For enquiries, please contact Professor Kelvin LEUNG, Head of Department (email: chem@hkbu.edu.hk ). More information about the Department can be found at https://chem.hkbu.edu.hk/ . This is a
-
Animation and Motion Graphics Digital Graphic Production Data Visualisation Aesthetic Emerging Technologies in Art Tech Design Fiction and Avatar Development User Experience Design (UI/UX) The appointee is
-
quality assessment filters and standardise data augmentation. Machine Learning Model Development and Analysis Train and benchmark unimodal (image-only) and multimodal (image + questionnaire) models (e.g