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Are you passionate about the development of new materials for quantum applications and intrigued by integrating chemistry and physics approaches? Are you a driven student seeking to engage in
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Vacancies PhD student on Process Development of Green Steel Production Key takeaways The iron and steel industry are confronted with pressing challenges. Historically, the industry has heavily
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developed. Here, we focus on zero-defect manufacturing processes for resilient and adaptable data-driven additive manufacturing. We will work with CEAD who have developed an additive manufacturing process
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the state of the art, one can rely on physics prior and latest AI techniques to accelerate ULM imaging in 3 dimensions. The candidate will be embedded within the IRIS and CHEME AI Labs at TU Delft
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characters {A, C, G, T} which encode the DNA and the genetic information of an organism. Computational genomics studies algorithms that can efficiently process such strings. The human genome project effort led
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research into brain-inspired computing models that mimic the natural neural system's computational physics. Our research entails the development of novel brain-inspired computing theories, learning systems
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the central nervous system, requires adaptive computing systems that are not only able to receive biologically encoded inputs but also to process these locally. Due to the intrinsic ionic-electronic coupling
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at the molecular scale. Are you interested to combine physics, engineering, and molecular biology to gain insight into how life works at the nanoscale? To learn how the machinery of life operates at the molecular
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insights promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in
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the key reaction intermediates of plasma-catalytic reactions. About the group The Advanced Research Center for Nanolithography (ARCNL) focuses on the fundamental physics and chemistry involved in current