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, diversity, and gender equality, supported through networking and mentoring activities. A friendly and inclusive working atmosphere, both within the research group and across Chalmers. About the research
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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activities, e.g. within the Quadraam network. This position was enabled by the Sectorplannen Techniek II. Organization Founded in 1614, the University of Groningen has built a strong international reputation
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interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer Science, Cognitive Science, or a
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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fair working environment. An inspiring research environment embedded in the Ludwig Boltzmann Institute for Network Medicine at the University of Vienna. Access to cutting-edge computational resources and
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to state-of-the-art computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research environment If you have any questions, please
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computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher to contribute to our ambitious mission. Division The Division of Biomolecular and
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of Ireland, aiming to develop effective vaccines to control the spread of bacterial antimicrobial resistance. This network provides a unique interdisciplinary programme with cross-training in complementary