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learning on graphs, including knowledge graphs, social and biological networks, financial networks, temporal and dynamic graphs, uncertain graphs, explainability and fairness of deep learning methods
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economy. The postdoctoral position is part of the research project ‘PAY4PLAY : Entrepreneurial Organising in the Platform Society,’ led by Assistant Professor Blake Hallinan and funded by the European
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Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415). The position is open for appointment from Feb 1, 2026 or soon thereafter
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networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and
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and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and computational partners in
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2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of
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apply machine learning and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and
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gene regulatory networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome
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economy. The postdoctoral position is part of the research project ‘ PAY4PLAY : Entrepreneurial Organising in the Platform Society,’ led by Assistant Professor Blake Hallinan and funded by the European
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following areas: Probabilistic or Bayesian Machine Learning Variational Inference, Ensemble, or Diffusion Models Spatio-Temporal or Sequential Modelling Graph Neural Networks Deep Learning and Uncertainty