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responsibly. Commitment to full-time, on-campus work at NUS Business School. Preferred Qualifications Prior research experience in accounting or finance projects. Familiar with text or image data processing
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Differentiate iPSCs into midbrain dopaminergic neurons and organoids for phenotyping and compound testing High content imaging and automated image-analysis Analyze omics data Collaborate closely with
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operating in Reflection In this project, the researcher will explore high-resolution interference lithography processes for the generation of polarization converters with diffraction-limited performance
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, service providers and civil society organizations, the CERC in Health Equity and Community Wellbeing aims for a paradigm shift – one that challenges a siloed, expert-driven approach to health and well-being
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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to the efficient operation of the research work area by providing essential research support. Your key responsibilities will be to: recruiting study participants, liaising with potential participants
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aspects of clinical research work, working with clinicians, academics, and youth mental health service providers, and contributing to the efficient operation of the research work area by providing essential
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aspects of clinical research work, working with clinicians, academics, and youth mental health service providers, and contributing to the efficient operation of the research work area by providing essential
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for Development of Gene Therapies TREAT-EXP in the project FENG.02.01-IP.05-M038/25, TREAT-EXP: Development of therapeutic strategies for human genetic diseases caused by nucleotide repeat expansions. The FENG
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to support the project's research activities, namely: i) Image capture and editing ii) Audio capture and editing iii) Production of immersive multimedia content (360º) iv) Scientific production in the field v