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Field
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student will work on data processing from the digital photosensors and image reconstruction for the PET scanner. The student will be involved in the hardware work on the photosensors as well. The same
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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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computer science or a related field, with an interest in semantic technologies (ontologies, semantic querying) and information extraction. It is important to have strong programming skills, to prototype
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available, including high-parameter flow cytometry, confocal imaging, histopathology, metabolomics, single-cell sequencing, and bioinformatics support. Terms & Conditions: €25,000 annual stipend plus academic
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Technology, Mathematics and Statistics, and Computer Science. More about the position Modern diffusion models underpin state-of-the-art generative AI for images and continuous data, yet principled diffusion
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types to behavior. In this particular project, you will investigate how the hippocampus forms spatial memories and how these processes are influenced by addictive substances. You will use state-of-the-art
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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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at the cellular level, and (iii) applying quantitative image analysis to compare structural organization across fertile and infertile donors. The project is embedded in an active collaboration with a local
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen