179 developer-"https:"-"https:"-"https:"-"Brunel-University-London" Postdoctoral positions in Denmark
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translate cutting-edge concepts into experimentally validated devices. By joining us, you will operate at the absolute forefront of heterogeneous photonic integration, develop high-performance nonlinear and
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centrioles at the cell surface. They play key roles in cell signalling, which are essential for the development and function of most tissues and organs in our body, including our sensory system. Mutations
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for a two-year postdoc, ideally starting August 1st, 2026. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude
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The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
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with natural language. The successful candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
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. The goal is to better understand the main drivers behind the personality cult emerging around Xi Jinping and how it has developed over time, possibly in comparison with other, previous Chinese leaders
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Nordisk NERD grant, which will fund our research activities in quantum materials for the next 7 years. What we offer The successful candidate is offered: access to a well-developed research infrastructure
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) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology. Our
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting