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Technology and Policy research group which focuses on understanding the feasibility of climate action and developing approaches for anticipating transitions. The group has a rich international network and a
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programming, the experience in collaborating with, and documenting research results to, the wider society, and experience in working abroad and/or working in national and international networks. Teaching
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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, combining computational modeling, high-throughput experimentation, and advanced characterization techniques. The position offers substantial opportunities for scientific growth, international networking, and
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and their sustainability aspects. Collaborate closely with other members of the group and experts in organic chemistry and plant biology, engaging in interdisciplinary research. Network at international
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which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. The position offers excellent opportunities for networking with district heating
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regulators of disease onset and progression. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating
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combines academic freedom with strong institutional support, interdisciplinary expertise, and ties to European research networks. The postdoc will have significant freedom to shape and develop their own
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. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating multimodal data with clinical information
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate