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science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day
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uncertainty factors originating from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques. The developed methods will be evaluated in representative energy
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of large, cross-departmental initiatives. The analyst deploys data extraction, transformation, and loading (ETL) processes; classical statistical analysis; predictive and prescriptive modeling; optimization
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flexible role not tied to any single predefined project. The successful candidate will contribute to a range of modelling-driven projects that tackle key questions in cancer biology, such as understanding
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fibroblast identity and function within liver tumours and how these cells shape anti-tumour immune responses. The student will use in vivo cancer models, spatial tissue analysis and immunological profiling
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the Research Grant Regulations of the Foundation for Science and Technology. 6. Work plan: The RiskMap project aims to develop an AI-driven tool to map degradation risks on historic building facades, using
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genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to collaborate closely with
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extraction, transformation, and loading (ETL) processes; classical statistical analysis; predictive and prescriptive modeling; optimization; and data visualization techniques to generate actionable insights
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Maxwell Postdoctoral Fellows, Ithaca NY In conjunction with Cornell’s Engineering Innovations in Medicine (EIM) initiative and the School of Operations Research and Information Engineering, the
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emerging areas of science and technology. (For more details, please visit https://www.fst.um.edu.mo/ and https://fhs.um.edu.mo/en/#/ ). The Department of Biological Science strives to excel in both