506 structures "https:" "https:" "https:" "https:" "https:" "University of Hamburg" positions in Netherlands
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, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a
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to cracking, corrosion, and a lack of structural redundancy. In the Netherlands, the safety of these structures depends on the integrity of the lower nibs. These are typically slab structures that are known as
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aims to explore materials innovations for next-generation sodium-ion batteries. The overarching goal of the project is to combine experimental and computational studies to elucidate structure-property
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these new noise sources, influenced by complex building structures and in the presence of other noise sources, is limited, and scientific studies to understand the impact on people are therefore needed
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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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structures and activities. The postdoc will lead the compilation, annotation, and integration of microbial volatile data, linking metabolomic profiles to microbial genomes, traits and ecological functions
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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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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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, 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
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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