Basic knowledge in eye anatomical structure, specifically retina and retinal layers (basic knowledge will do) Basic Microsoft skills — excel, powerpoint, etc.
Would be a ‘plus’ if candidate has prior knowledge in Microsoft Access and Mathlab coding
Good interpersonal skills
Preferably basic knowledge of laboratory science and willingness to learn
Basic knowledge in statistics and willingness to learn
Video editing capabilities
Data collection, image processing / analysis, literature review / data analysis
Creativity and knowledge of editing
Research commitment for 1 year
Basic knowledge of optometry, ophthalmology
Willing to learn and work in myopia research group
Basic knowledge in statistics
Basic knowledge and interest in advanced imaging techniques
Willing to learn and easy to work with
The students are required to manually annotate the OCT images, learn the AI basic concepts, and collaborate closely with the clinical and technical teams
They will also be able to participate in various AI projects discussion to further their understandings about the digital innovation in Ophthalmology
Willing to learn and being easy to work with
Student will be involved in data collection using a state of the art handheld ocular screening device
He/she will also learn how to process data and analyse pupillometry and ERG signals
He/she will also be involved in literature review and manuscript writing
Student will have a chance to lead and publish a paper as first author
Basic knowledge in neurosciences and ophthalmology
Innovative and willing to learn novel topics
Good and respectful rapport with patients
Basic knowledge in statistics and programming skills are a plus
Design and carry out the experiments
Prepare abstract for conferences and manuscript for publications
Present data at local and international conferences
Supervising junior researchers
Tissue Engineering & Cell Therapy
Perform animal study, biomechanical test, data analysis, and write manuscript
Preferably with previous experience working in wet lab
Assoc Prof Monisha Esther Nongpiur
Basic knowledge in basic science research, willing to learn and meticulous
Knowledge of coding programme is a plus
Organise images and databases systematically
Basic knowledge and interest in research and eye anatomical structure
Basic Microsoft skills – Excel, Powerpoint, etc
Would be a ‘plus’ if candidate has knowledge in AI / deep learning and statistics
Ocular Epidemiology
Image QC, literature review, simple analysis, end note DB creation, assist in manuscript drafting
Microsoft Excel
Meticulous, willing to learn
End Note DB creation
Quality checks, analysis of ocular imaging, data entry, co-authorship of any resulting publications and/or presentation at conferences
Help with Stem Cell Culture and retinal cell differentiation
Data collection and analysis, literature review, involvement in writing manuscript
Images quality control, data cleaning and analysis
Basic knowledge and interest in advanced AI
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