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'proof of concept' that could change our view of Earth's early history before the emergence of life and also be relevant for the search for extraterrestrial life. The successful candidate will design and
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advanced light microscopy data. The lab’s research scope ranges from reinforcement learning for drug design, interpretable ML pipelines for cancer research and diagnosis as well as graph neural networks
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representative, heterogenous and community samples. Together with professor Čehajić-Clancy, the successful applicant will work on designing and evaluating field interventions using community samples in conflict
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work within the Swedish Living Lab, co-led by SLU and Svensk Kolinlagring, engaging directly with farmers to test and monitor regenerative grazing and soil management practices. You will design and carry
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experiments. Thus, the project team will engage in ambitious data collection and experimental designs. There will be opportunities for extensive collaborations using these methodological approaches