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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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. Academic training in cutting-edge computational analysis and design tools. Structured training through network-wide workshops, summer schools, and transferable-skills courses. International secondments
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the design and analysis of such models. PhD position 1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD
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follow up with participants as needed Liaise with participants to organise interviews Design and conduct online qualitative semi-structured interviews Transcribe interviews Qualitative data analysis
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approaches to neural networks, learning-theoretic analysis of algorithms and geometric analysis of the learning landscape. Candidates are encouraged to interpret these subject areas broadly. Fellows will have
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activities: Analysis and presentation of results at scientific conferences and in journals Support in the preparation of third-party funding applications Participation in academic teaching and public relations
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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, pharmacokinetics, cancer immunotherapy, and circadian rhythms. The intercellular dynamics team aims to develop inference methods for dynamic cellular networks and apply them to uncover structures underlying various
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of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI, or sociotechnical systems. Strong programming and data analysis skills are essential. Preferred qualifications
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mathematical analysis. You will develop learning‑based models (e.g., sparse 3D CNNs and related architectures) for multi‑modal interpretation and reconstruction, and design topology‑aware meshing and refinement