7 modelling-complexity-geocomputation Postdoctoral positions at Radboud University in Netherlands
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characterisation factors by integrating the biodiversity response estimates with maps of agricultural management systems in species-area models for different ecoregions. This will result in a set of LCA
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land management systems. Third, you will develop LCA characterisation factors by integrating the biodiversity response estimates with maps of agricultural management systems in species-area models
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composed of animal-derived basement membrane extracts, which suffer from lot-to-lot variability and have a heterogeneous and complex composition. These disadvantages compromise research, validation and the
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crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
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are typically composed of animal-derived basement membrane extracts, which suffer from lot-to-lot variability and have a heterogeneous and complex composition. These disadvantages compromise research, validation
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. One challenge here is to understand and control the dynamic response of the system for complex input signals. Your goal will be to explore material systems that host novel types of correlated electron
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an appropriate method. You will analyse complex data, present the results at conferences, and publish in peer-reviewed journals. You will also be an active member of the BSI in Nijmegen. Where to apply Website