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field. Expertise in analysis of single cell or spatial sequencing data is required. Experience in analysis of bulk RNA and whole exome sequencing data, and genotyping array data is preferred but not
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of research, and the names and contact information of three references through the "apply" link. Review of applications will begin immediately and continue until the position is filled. Anticipated start date
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studies, and biochemical interaction assays. Demonstrated success in developing innovative genome engineering strategies. Strong research management and project coordination skills, including rigorous data
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algorithms to reconstruct images in 3D and 4D Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging physical X-ray knowledge and deep-learning approaches. Collaboration with
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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of information theory to syntax and language processing. Thus, the role will involve syntax, diachronic linguistics, psycholinguistics and, to some extent, computational linguistics. Under the guidance of project
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’ postdoc experience. Excellent English is essential. Further information on the Political Economy Research Area led by Lucio Baccaro can be found on our website . The post is for an initial three-year
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AI4TECS aims to develop the first AI‑powerAd system that integrates real‑time EC identification using non-target high resolution mass spectrometry data, toxicity prediction, and transformation modelling
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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