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of expression systems Metabolic flux analysis for pathway characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution
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is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized brain stimulation and with
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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects
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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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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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exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
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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