18 data-"https:"-"https:"-"https:"-"https:"-"Grenoble-INP---Institute-of-Engineering" positions in Mexico
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Research Group Leader in Molecular Data Science | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 3 May 2026 Join a place where ambitious
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fund as well as laboratory and office. Other Positions (Professor / Associate Professor / Lecturer / Postdoctoral Researcher) Please visit https://rsc.nankai.edu.cn/2025/1124/c13685a584789/page.htm
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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screening, and multi-omics data to uncover cancer vulnerabilities and enable next-generation therapeutic target discovery. The group is supported by major competitive funding, contributes actively
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mission is to transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre (HDSC) at HT has been planned in partnership with Politecnico di
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scientific ideas into advances that improve human health. Within this mission, the Bioimage Analysis Infrastructure Unit of the National Facility for Data Handling and Analysis at the Human Technopole (HT) is
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scientific ideas into advances that improve human health. Within this mission, the Bioimage Analysis Infrastructure Unit of the National Facility for Data Handling and Analysis at the Human Technopole (HT) is
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, or diagnostic information from images, (4) generation of counterfactual explanations to help extracting new insights from biological datasets, and (5) the development of computational models of cell and tissue
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screening, and multi-omics data to uncover cancer vulnerabilities and enable next-generation therapeutic target discovery. The group is supported by major competitive funding, contributes actively
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high-throughput workflows, including single-cell proteomics. It operates state-of-the-art instrumentation and advanced data analysis pipelines within the multidisciplinary ecosystem of Human Technopole