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environmental science, physics, chemistry, mathematics, engineering or similar. You need to demonstrate experience with collaboration and presenting works at international conferences and leading manuscripts
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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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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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with an international team, establish experimental designs, and provide biological insight into the mechanisms of chromatin recognition and repair. The postdoc is expected to drive the project, including
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wildtype animals, we aim to use CRISPRcas technology to produce knock-out lines, which will facilitate comparative physiological and ecological experiments to understand the cost, function and ecological
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-4DµXRD experiments to follow the microstructural evolution during tensile loading of aluminum samples containing second-phase intermetallic particles. Performing synchrotron experiments to validate Lab
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experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
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or as soon as possible thereafter. Qualifications The successful applicant will have a Ph.D. in geoscience or a related field. Candidates should have experience in interpretation of reflection seismic and
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a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused on understanding biodiversity dynamics by
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. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of the ABIS project, which