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assays and preclinical evaluation in mouse models in collaboration with IRMB and PEPCO platform. - Analyze immune evasion, signaling, and therapeutic efficacy. - Benefit from mobility and exchange
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experience in one or more of the following areas would be particularly valued: Structural or theoretical modelling; Advanced causal inference strategies; Design and analysis of field experiments or RCTs. Your
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from April 1, 2026, or as soon possible. This is a fixed-term position to end on March 31, 2028. Job description The primary objective of this postdoctoral project is to understand how ecosystems
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this, the postdoc will use innovative modeling based on the coupling of (1) a meteorological model adapted to the fine spatial scales of these systems and explicitly simulating turbulent structures, and (2) a
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of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
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research students in group and/or interdisciplinary student team projects. Supports the development of the lab ecosystem, tools, datasets, and models repository with required processes for access and sharing
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to minimize the threshold value for herd immunity. The project is methodologically flexible and can be based on manipulative experiments in the field and/or mathematical modelling, depending on the postdoc’s
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of Biology. The NSF-funded project will examine the relationships between body size, temperature, and nutrients in stream ecosystems. We will test these relationships using data from the National Ecological
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of Biology. The NSF-funded project will examine the relationships between body size, temperature, and nutrients in stream ecosystems. We will test these relationships using data from the National Ecological
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of Biology. The NSF-funded project will examine the relationships between body size, temperature, and nutrients in stream ecosystems. We will test these relationships using data from the National Ecological