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Field
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About us The Institute of Ophthalmology is committed to a multi-disciplinary research portfolio that furthers an understanding of the eye and visual system linked with clinical investigations
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data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab
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-tuning 4. Model selection, training and validation cycles 5. Visual task validation and model fine-tuning • Authoring high-quality research papers for leading conferences and journals and
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and network analysis, data visualization, literature review, and manuscript preparation. Learning Objectives: Learn to perform quality control and preprocessing of large-scale datasets relevant
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to articulate artistic creation and research; v. Organisational and communication skills; vi. Interest in contemporary art, visual culture and studio practices. 3. Preferred Requirements: i
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or technical projects. Activities may include, but are not limited to, Interpreting data and analyzing results using appropriate methods, techniques, and visualizations. Practice identifying, analyzing
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). • Proficiency in 3D rendering and game engine technologies (e.g., Unity, Unreal Engine, WebGL, Three.js) for digital twin visualization. • Familiarity with BIM standards (IFC, Revit) and spatial databases is a
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Qualifications* Experience in neural development, glial biology, immunology, genomics, or gene therapy is highly desirable Experience with animal models (mice or zebrafish) and visual research is highly desirable
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Collect datasets for in-lab testing visual
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statistical analysis (data visualization, descriptive analyses, time series analyses, latent modelling, multilevel modelling). · Data Cleaning and Management. Engages both independently and under supervision in