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
Research commitment for 1 year
Preferably basic knowledge of laboratory science and willingness to learn
Willingness to travel between NUS and SNEC
Basic knowledge in statistics and willingness to learn
Previous experience in molecular and cell biology techniques
Meticulous and willing to learn
Basic knowledge of cell and molecular biology technique
Some previous experience in wet lab is advantageous
Corneal stromal cell therapy as an alternative to donor corneal transplantation
Cell culture and immunocytochemistry, perform animal follow-up examinations, tissue sectioning, immunohistochemistry and animal behavioural analysis, conduct data analysis
Preferably with previous experience in cell biology
Basic knowledge of optometry, ophthalmology
Willing to learn and work in myopia research group
Basic Knowledge of Optometry, Ophthalmology
Basic knowledge in statistics
Willing to learn and easy to work with
Basic knowledge in statistics
Interest in advanced imaging techniques
Willing to learn and being easy to work with
Prof Leopold Schmetterer
Choriocapillaris analysis on eyes with geographic atrophy
Basic knowledge in neurosciences and ophthalmology
Innovative, and willing to learn novel topics
Good rapport with patients
Basic knowledge in statistics and programming skills are a plus
Basic knowledge in ophthalmology
A Biomechanical Sensing Model of Scleral Remodeling in High Myopia
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
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
Knowledge or interest in engineering and photobiology are a plus
Knowledge in basic science researchInnovative, and willing to learn novel topics
Knowledge or interest in metabolomics, optics and photobiology 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
Design and carry out the experimentsPrepare abstract for conferences and manuscript for publicationsPresent data at local and international conferences
Data collection from retinal dystrophy patients in SNEC retina clinics
Multimodal imaging analysis (e.g., ultrawide field photos, OCT, autofluorescence) and electrophysiology analysis and data entry
Statistical analyses
Writing articles and reports
Data interpretation/statistics
Writing article
Titania-graphene oxide synthetic keratoprosthesis for the replacement of osteo-odonto keratoprosthesis
Perform animal study, biomechanical test, data analysis, and write manuscript
Preferably with previous experience working in wet lab and comfortable with handling of rabbits
RECYCLE: REpurposing disCarded tissue from keratoplastY and Corneal Lenticule Extraction
Perform animal study, post-op follow-up imaging, immunohistochemistry, and data analysis and write manuscript
Exosome treatment to alleviate Steven's Johnson Syndrome and adenoviral conjunctivitis
Cell culture, ELISA, FACS, and perform data analysis
Preferably with previous experience in cell biology and/or virology
Assoc Prof Monisha Esther Nongpiur
Basic knowledge in basic science research, willing to learn and meticulous
Knowledge of coding program 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
Refinement of a retinal image-based deep learning algorithm for chronic kidney disease (CKD)
Image QC, literature review, simple analysis
Microsoft excel Meticulous, willing to learn
Literature review, end note DB creation, assist in manuscript drafting
Quality checks, analysis of ocular imaging, data entry, co-authorship of any resulting publications and/or presentation at conferences
Image analysis, data entry, co-authorship of any resulting publications and/or presentation at conferences
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