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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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position in AI for Network Analysis, starting as early as November 1, 2025. We are looking for a motivated and talented early-career researcher with a strong interest in social network analysis, complex
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emphasize technology as a solution for journalism’s struggles. In doing so, they have also limited the directions in which journalism could actually develop, and elided critical reflections on the complex
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time, infrastructure networks reach capacity thresholds. Extending and upgrading infrastructure is challenging and limited not only because of long infrastructure lifetimes coupled with high investment
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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our
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cooling is a core element of their design. The design and realization of PEDs involves (complex interactions between) societal, technical, economical and regulatory factors. EmPowerED – Enabling Positive
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)chemical analytical techqniues (e.g., HPLC, GC, ELISA, flow cytometry) Analyzing complex and/or multidimensional datasets Programming for data analytics (e.g., Python, R) If you do not recognize yourself in
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, they have also limited the directions in which journalism could actually develop, and elided critical reflections on the complex relationship between journalism and technology. This project addresses
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technology as a solution for journalism’s struggles. In doing so, they have also limited the directions in which journalism could actually develop, and elided critical reflections on the complex relationship
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Join us to create new smart molecules for imaging of complex mechanics. Job description Soft matter such as polymers and hydrogels are incredibly versatile materials. Their use in metamaterials and