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. You will have demonstrable experience in the analysis of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single
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communication skills in both English and Chinese; (d) have strong empirical research skills with expertise in causal inference methods (e.g., quasi-natural experiments, field experiments); (e) be proficient in big data
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three large, multi-site human cohorts in Europe. The successful candidate will oversee the development of the bioinformatic pipeline for the >3000 samples ensuring harmonised protocols, high-quality data
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major hurdles in the use of genomic data in public health – access to big data sets, the technology to analyse these data, and the knowledge to interpret the results. In this role, you will develop
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questionnaire design Assist with data analysis in R and STATA (data collection / cleaning) Research administration support Other ad-hoc duties as assigned The full-time position will have a 12-month term
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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3 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Optique Appliquée Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 16 May 2026
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary