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end on 28 February 2029, but with possibility for an extension. Job description • You will be contributing to further development of the WRF-Chem model to handle a large range of bioaerosols in
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Immunology: Harnessing a human lymphoid organ-on-chip for evaluating innovative mRNA vaccination strategies A post-doctoral position is available to advance the development of a 3D human lymphoid organ model
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develop a microbial-explicit version of the dynamic vegetation model LPJ-GUESS. You will join a dynamic team at the Center of Excellence VOLT (Center for Volatile interactions, https://volt.ku.dk
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data and sparse, noisy, or time-dependent experimental observations. Develop approaches for reconciling computational models with physical experiments, including parameter calibration, model
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Princeton | about 2 months ago
appointment will be through the Andlinger Center for Energy and the Environment. The researcher is expected to contribute to projects that aim to model the drivers and impacts of energy transitions across
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Princeton | about 2 months ago
appointment will be through the Andlinger Center for Energy and the Environment. The researcher is expected to contribute to projects that aim to model the drivers and impacts of energy transitions across
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Princeton | about 2 months ago
appointment will be through the Andlinger Center for Energy and the Environment. The researcher is expected to contribute to projects that aim to model the drivers and impacts of energy transitions across
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appointment will be through the Andlinger Center for Energy and the Environment. The researcher is expected to contribute to projects that aim to model the drivers and impacts of energy transitions across
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. The approaches are founded on interpretation of large data sets from human genome level sequence data and/or mouse cell type specific transcriptome sequence data coupled with model organism
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Systems Location Moscow Posting Context Statement Develops alternative futures and resilience pathways by translating model outputs into spatial and temporal scenarios for a regional testbed. Applies