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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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. Knowledge and experience in modelling techniques in Mesoscale and Multiphysics finite element modelling Good communicative skills, teamwork competence and collaborative abilities, as well as capability
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the model plant pathogens Botrytis cinerea and Phytophthora infestans we will investigate their immune reactions and evolutionary responses to experimental selection by biocontrol agents including
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state
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process involve developing models for the components of both axial and radial turbomachines. A strong background in aerodynamic methods and tools of turbomachinery design is therefore required, which in
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with model crops, but also agriculturally relevant plant species including cereals, rapeseed, sunflower Experience with assessing plant productiviy Knowledge of applied plant biology and/or breeding
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. Teaching skills. Additional assessment criteria: Experience with research on stress signalling, metabolomics and phosphorylation cascades Experience with model crops, but also agriculturally relevant plant
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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(attoswitch.eu). Detailed description of the work duties, such as: Device design and layout. DC- and 1/f noise characterization of devices. Data analysis and interpretation. Device modelling in collaboration with
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to measure and model technological deployment and to identify the role of policies in accelerating and/or re-accelerating the growth of low-carbon technologies. The interdisciplinary post-doc position requires