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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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staffing issues and poor transport links and infrastructure. While recent studies have begun to explore the impact of ‘place of residence’ on cancer outcomes, the unique ecosystem of rural and coastal
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models is a strong plus Familiarity with super-resolution imaging techniques and/or proteomics workflows is a strong plus Strong computational and organizational skills, with attention to detail High level
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behavior, resolver interactions, and dependency modeling. This project builds on ongoing collaborations with both national and international partners, including SIDN and TNO in the Netherlands, CAIDA in
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for analysis of the data you create. Your findings will be a vital part of understanding the evolution of cancer drug resistance in cell models and in patients. About you: You’re excited about our research
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, University of Copenhagen. XAI-CRED aims to develop an explainable AI (XAI) model to expose details of AI models – with a special focus on better understanding the role of credibility in asylum decision-making
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the esophagus with relevance to eosinophilic esophagitis. The research project will involve patient-derived samples, including organoids and air-liquid interface cultures, and experimental esophagitis models
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post-zygotic aneuploidy arises in mammalian embryos and its consequences during early pregnancy. You will primarily work with equine embryos, which represent a valuable model for studying post-zygotic
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of cities. Develop the first national land use–transport interaction (LUTI) model for Australia. Evaluate policy scenarios involving HSR to realign population growth with sustainability goals. The selected
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modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating these theoretical insights with the structure and activity