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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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, this section studies the interactions between people and their built environments, and the effects of urban design on their behaviour. The postdoc project is conducted in strong collaboration with researchers
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-edge machine learning methods with empirical insights from the educational arm of the project. A central technical challenge guides this position: How can an LLM-based AI social agent be designed, fine
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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Are you passionate about Design Research and the design of data-driven, hybrid care? Do you love working at the intersection of healthcare, technology, and complex multi-stakeholder ecosystems
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within this urban context. Key Enabling Methodologies (KEMs), a collective term for groups of tools, strategies, and design methods used by researchers, policymakers, and professionals, can help to
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of agriculture. Yet research efforts, funding opportunities and infrastructure remain fragmented across Europe. What is needed to strengthen crop breeding research and innovation in Europe? One of the most common
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practical impact to help develop gluten-free products that match the quality of their wheat-based counterparts. Read on to learn more. Wheat flour and wheat-based products, ranging from pasta to bakery