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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
interdisciplinary center for research and education in quantitative genetics and quantitative genomics (http://qgg.au.dk/en). QGG is an international organization with 100 employees and visiting researchers from
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
embedding models, and construct semantic and network-based representations of key concepts. A central challenge — and opportunity — of the project is working with non-standardized, historically layered, and
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group and our local, national and international networks Report your results in peer-review scientific publications and international conferences Teach and supervise PhD, MSc and BSc students as
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mitigation, climate change adaptation, low-carbon transitions and/or net-zero energy systems. Further information For further information about the position and the department please contact professor Benjamin
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available in the Nielsen Lab, which focuses on understanding how post-translational modifications (PTMs) such as ADP-ribosylation networks regulate proteome states and cellular function. The position is
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-year postdoctoral position in Integrated and Flexible Electricity and District Cooling Networks. The position is located at the Aalborg campus and is available from 1 May 2026 or as soon as possible
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learning–based), advanced mesh generation techniques for simulation, and experience with biomedical simulation, both virtual and physical. Experience with laboratory and clinical validation of models is
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together a large network of European stakeholders across universities, industry, training providers, and policy organisations, with the goal of strengthening Europe’s quantum talent pipeline and accelerating
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application of cumulative impact assessment model using food webs, which is intended to assess impact of multi-stressors on trophic and non-trophic interactions networks. The modelling will be primarily based