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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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management systems Strong track record of scientific publications Excellent communication skills in English (oral and written) Who we are The Section for Electrical Energy Technology focuses on energy system
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computer science, explainability is mainly evaluated through data-driven metrics. While they provide some insights for developers, it is unclear whether existing metrics track any ethically relevant properties
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in the department is approximately 80. This includes about 45 faculty members (professors, associate professors, tenure track assistant professors), 7 administrative staff members, and 30 members
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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is
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comfortable performing in vivo studies (FELASA-B certification or an equivalent qualification is an advantage); have a documented track record of scientific publications or demonstrate strong potential
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vesicle isolation and characterisation, such as ultracentrifugation/SEC, nanoparticle tracking analysis and electron microscopy. Small-RNA/miRNA profiling, including small RNA-seq and/or RT-qPCR. Sterile
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track record of scientific dissemination Is enthusiastic about contributing to an internationally competitive research environment Who we are The positions will be based in the Nielsen Laboratory