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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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collaborative research, either to assist groups of bachelor’s students in doing homework or co-teach advanced courses relevant for your research area. The Department of Mathematics, the city of Aarhus as
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the team, and proactive working style are essential. The candidate should be motivated, open to learning new techniques, and capable of driving their part of the project independently. Who we are The postdoc
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environment to its 37,000 students (FTEs) and 8,700 employees and has an annual revenue of EUR 1.106 billion. Learn more at www.international.au.dk/
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in SHAPE subjects Have a genuine interest in engaging with and learning from stakeholders beyond academia, including teachers, policymakers and other professionals involved in education In addition
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are motivated to learn EV and small-RNA methods are explicitly encouraged to apply. Required qualifications PhD degree in Plant Science, Plant Physiology, Plant Molecular Biology, Microbiology or a related
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developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better visualise tissue boundaries. The project will also
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beliefs or behaviors are normal or even honorable. These practices do not merely express disagreement – they recalibrate what counts as legitimate behavior and instruct citizens on which actions should be
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carcasses for analysis. Your task will be to explore what we can learn from the beached bird data. Topics include the distribution of mortality in time and space, and among species; causes of death, as
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of EUR 1.106 billion. Learn more atwww.international.au.dk/