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University (speaker Prof. Eva Stukenbrock). The Research Unit aims to gain a better understanding of how plants respond to different combinations of stressors. Most of the subprojects deal with different
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of a larger effort to learn how these extreme events affect different aspects of society, from government policies and services to everyday life. As climate change intensifies, many parts of the world
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hyperspectral) from dynamic and complex environments across different scenarios tailored for Swedish farming systems. A particular focus would be developing machine vision models with generative machine learning
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metabolomics studies of bacteria in different environments. Data handling and data evaluation with multivariate methods will also be included. The work will be carried out in close collaboration with medicinal
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transceiver nodes (for sensing and jamming) all with finite range and bandwidth. For example, if the sensors employ different frequencies, greater probability of detection is obtained. If the sensors
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farming who would like to investigate the impact of light environments on physiology of dairy cows and farm economy. The project aims at improving our understanding of how cows react to different night
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analyze the performance of distribution grids in different scenarios and configurations towards achieving greenhouse gas neutrality. To achieve this, you will perform the following tasks: Conduct
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suggest countermeasures to the users during critical environmental conditions, when previously defined limits are exceeded Innovative teaching methods must be developed, aimed at different target groups
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different means (for example, but not limited to, training applications, competition environment familiarisation, data visualisation). Empirical studies will then be designed and conducted to assess
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new