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degree in Economics, Finance, Mathematics, Engineering, or a related field. For the PostDoc position you hold a PhD in Economics or Finance or a closely related field. You have good knowledge in
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mathematical modelling as well as observational cohorts with biobanks. Within the Unit of Biostatistics, we are looking for an experienced Biostatistician.
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Your position The production of agricultural commodities such as coffee, cocoa, or palm oil is associated with persistent environmental and social problems, including deforestation, forced and child labor, and smallholder poverty. Transforming agri-food systems is thus a major sustainable...
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of Prof. Isabelle Marthot-Santaniello (Department of Ancient Civilizations) and of Prof. Ivan Dokmanić (Department of Mathematics and Computer Science ) with support from the Center for Data Analytics (CeDA
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, statistics, physics, or mathematics with strong interest in biology Demonstrated experience in analyzing genomics or other high-throughput biological datasets Experience with analysis of proteomics or spatial
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microscopy and microfluidics will be valued. The candidate should have demonstrated experience in programming for data analysis, and/or in mathematical modelling. Application / Contact Please apply online
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, or evolution. Previous experience with microscopy and microfluidics will be valued. The candidate should have demonstrated experience in programming for data analysis, and/or in mathematical modelling. We offer
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, mathematics, sustainable development or related disciplines, be fluent in English, and be interested in pursuing an academic career. They should be willing to collaborate with members of the research team in
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HORIZON European (EIC) Pathfinder Grant project to develop a new category of Organ-on-a-Chip (OoC) technologies by synergistically harnessing the versatile properties of paper, cell growth, mathematical
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unconventional therapeutic strategies, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling