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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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performs research at the interface of tissue, tumor, and vaccine immunology. Our overarching goal is to identify processes that optimize immune responses for application to the design of novel cancer
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DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in computational nanophotonics. The goal is to use inverse design, such as topology optimization
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(FPPM) RDI unit. The FPPM unit addresses the synthesis, formulation and processing of polymers and (nano)particles to achieve specific properties enhancements and multi-functionality through both
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employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome as well as the stepwise process of leukemogenic transformation. Our
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habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management of this unique region, ensuring that it
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend