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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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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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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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There is an increasing demand for infrastructure services while, at the same time, infrastructure networks reach capacity thresholds. Extending and upgrading infrastructure is challenging and limited not
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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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providers, recursively forming complex supply chains that are difficult to analyze. As a result, operators may unknowingly introduce technical, operational, and regulatory risks – especially in critical
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breakthroughs in the creation and manufacturing of complex micro-electronic Radio Frequency (RF) systems that enable The Netherlands to extend its leading position, both in a technological as well as an economic
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also offers a fascinating and unexpected alternative strategy: by lining membrane pores with intrinsically disordered proteins (IDPs) to guard the gap. The best example is the nuclear pore complex (NPC