Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Ref.: 533588 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow/Senior
-
. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding performance in Physics or related
-
doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in
-
image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
-
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
-
data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding of causal inference methods is essential to develop
-
experience working with unstructured data, such as LinkedIn data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding
-
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
-
Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
development and teacher learning for artificial intelligence literacy”. He/She will take a key role in all stages of the research, including but not limited to (a) research and instrument design; (b) data
-
satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong