480 structures "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Netherlands
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build upon the existing Alpha framework (originally developed to model protein quality, see https://alpha-tool.eu ) and further develop it as a research-oriented modelling and demonstration platform
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into complex tissue-like structures. These structures offer exciting opportunities to mimic organ development and embryogenesis in vitro. However, current organoid models still only partially replicate natural
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opportunity to work in a top-tier interdisciplinary setting. This is what you will do You will develop predictive computational models to capture the formation and heterogeneous structure of microthrombi, with
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well-integratedwithin the TU/e landscape. Where to apply Website https://www.academictransfer.com/en/jobs/358778/senior-full-stack-data-engineer… Requirements Specific Requirements A strong background in
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, with a focus on crack initiation, propagation, and damage evolution. These structures are characterised by large wall thicknesses, irregular bond patterns, varying material quality, and exposure
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layers that connect heterogeneous data sources and metadata. Where it adds value, you apply semantic models and linked data technologies to enable structured integration. You also contribute to ontology
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characterization techniques, particularly solid-state NMR and X-ray/neutron scattering techniques for the investigation of structure-property relationships in battery materials. Strong background in battery research
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are the agriculture sector, construction sector, asphalt paving sector, aviation sector, and household sector. In particular, you will try to understand what the theoretical and actual policy bottlenecks are at local
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the interconnectedness of human, animal, and environmental health. Creating a supportive governance and regulatory environment—spanning institutional structures, policies, and legal frameworks—is essential for making
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, carbohydrate & click chemistry, GNM formulation and anti-cancer activity. Host Institution: RiboPro B.V., R&D Department, the Netherlands. https://ribopro.eu Duration: 36 months, starting between October 2026