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interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model trained
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-dependent interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model
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You have a recently completed PhD in a relevant field related to post-harvest technology, with in-depth knowledge in at least two of the following areas: Post-harvest physiology and product quality
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infection in vulnerable infants? Join an NWO Vidi project that combines advanced gut-on-a-chip technology, organoid models and microbiome approaches. You will work in an interdisciplinary setting to establish
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Work on globally unique experimental data to shape understanding of tsunami inundation of coastlines and interaction with buildings. Job description Tsunami engineering is a field that has grown
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and
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Vacancies PostDoc Research Position on Developing Technology for Subjective Sporting Experiences Key takeaways Can technology learn to listen to how athletes feel, and not just to what the sensors
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Division (TEC-ED) in the Electrical Department (TEC-E). Their main area of responsibility is to provide direct and indirect engineering support to ESA projects and European industry in the fields of EEE
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: Natural scientist or engineer wanting to make a difference in sustainable business practice The Job’s mission The research fellow will work for the Risk & Resilience Initiative. The initiative is led by