Sort by
Refine Your Search
-
, or Python. A strong publication record is an advantage. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory
-
magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
-
Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department of Physics, City
-
host state-of-the-art technology platforms with sophisticated equipment supported by over 75 dedicated members. Welcome to visit https://cpos.hku.hk to explore more. The Role Assist the Core Manager
-
Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
-
promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Part-time Lecturer Lingnan Institute of Further Education Lingnan
-
promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Part-time Lecturer Lingnan Institute of Further Education Lingnan
-
at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
-
. Candidates with less experience will also be considered; Computer Vision & Image Processing: Strong skills in Python (OpenCV, scikit-image) and proficiency with color spaces, color constancy, and camera
-
Processing: Strong skills in Python (OpenCV, scikit-image) and proficiency with color spaces, color constancy, and camera/lighting variability; Deep Learning for Images: Experience with PyTorch/TensorFlow