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healthy tissues using both US images and histopathology. Integrate multimodal data: Align histopathology slides with 3D ultrasound reconstructions. Refine imaging technology: Explore improvements in
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on the gathered knowledge, the postdoc will identify separation processes most suitable for scale up for products from CO2 electrolysis. Furthermore, the postdoc will demonstrate integration of continuous lab scale
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forward-looking, articulate and independent lawyers. The Postdoc will be integrated in the Groningen Centre of Energy Law and Sustainability (GCELS). GCELS brings together expertise from all branches of law
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
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will: Independently carry out experimental and computational research within an interdisciplinary team. Develop software tools and support their integration into research workflows. Provide technical
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. Furthermore, the postdoc will demonstrate integration of continuous lab scale end-to-end process from a CO2 rich feed to a chemical intermediate. You will work together with a diverse team of scientists
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an interdisciplinary team. Develop software tools and support their integration into research workflows. Provide technical expertise for preclinical imaging and precision irradiation studies. Collaborate with SmART
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changing world. We are dedicated to conducting timely and innovative research that addresses both scientific and societal challenges. Your research will be integrated into ongoing studies of terrestrial
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, integrated with current technology, and coupled to technological use cases. In this two-year project, a postdoctoral researcher will join forces with academic and industrial consortium partners to map how
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Geospatial Carbon Registry external link (OGCR). The project is aimed at quantifying and mapping carbon storage potential and future carbon removal and carbon farming policy scenarios, integrating process