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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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, analytical chemistry or similar a PhD degree is considered a plus a solid understanding of protein chemistry, analytical chemistry, MS-omics techniques and bioinformatics a strong background in mass
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team, Aarhus University and MAX IV. Depending on the candidate’s interests and expertise, research activities may include studies of functional materials, advanced crystallographic methods, automated and
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. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present
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electron states to support high-sensitivity room-temperature quantum sensing. Besides the establishment of the experimental setup, this involves the design of pulsed DNP and EPR methods using advanced