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intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning models that predict gene expression from DNA sequence in plants, using new experimental datasets generated in the
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, Denmark, invites applications for a two-year postdoctoral position in plant regulatory genomics and artificial intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning
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relevant variables such as peptide sequence, precursor charge state, collision energy, and peptide modifications into computational frameworks Evaluate model performance using suitable similarity
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Build data-driven models for peptide fragmentation analysis using experimentally generated spectra Integrate relevant variables such as peptide sequence, precursor charge state, collision energy, and
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financial and organisational management; and maintaining alignment with the application submitted to the Novo Nordisk Foundation. Your main tasks will consist of: Implementing the NEXUS Board-approved
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and MAS solid state NMR, HR-MAS, pulse sequence development, low-field NMR, high-pressure NMR and imaging, and a strong focus on modelling of solid-state NMR experiments. The lab is equipped with state
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; running the secretariat; delivering programmes and grant operations; building partnerships; ensuring sound financial and organisational management; and maintaining alignment with the application
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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or
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and is part of PREPARE — Pedagogical Alignment for Responsible AI in Software Engineering Education , a joint project between SDU and the IT University of Copenhagen (ITU). CIS is a young but fast
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applications. The position includes: Developing batch-processing workflows for MSI and metabolomics data, including normalization, quantification and feature alignment. Developing spatial segmentation