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, host genetics, and addiction vulnerability. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome functional profiles
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support (including a Parenting and Carers Fund and the Carer’s Career Development Fund ), training, and a variety of diversity and inclusion networks. Staff can apply for flexible working to help them
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and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for 2.5 years
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an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for 3 years. Salary in accordance with
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. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome functional profiles, host genetic variation, and behavioral phenotypes from
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to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental
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complex dynamic system. Minor disruptions can lead to major delays with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore
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two and a half years as from 1 September 2026 (or starting date as agreed). Please find more information below and submit your application no later than 27 August 2026. Role and salary We are seeking a
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network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for 2 years. Salary in accordance with
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an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for 3