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Responsibilities: Ensure communication with internal and external stakeholders Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and
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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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products is a strong plus. Excellent laboratory and organizational skills; ability to work independently and as part of a collaborative team. Good communication skills in English. In
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metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate
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that you develop. Both in the practical and simulation work you will be guided and supported by other post-docs and senior researchers, in Luxembourg and from our international network of collaborators. You
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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, B., Holtkamp, E., et al. Integration of variant annotations using deep set networks boosts rare variant association testing. Nature Genetics (2024) Marconato, L. , Palla, G. , Yamauchi, K. A
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for interdisciplinary collaboration and advancing green technologies. Excellent communication skills and fluency in English (written and spoken). Position 3. Postdoc position on integrating a two-stage fermentation
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing