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We are looking for a PhD student to help us develop practical cryptography for the post-quantum era. This (fully funded) PhD studentship focuses on provable security. Information You will develop
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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inaccessible biological information and accelerate breakthroughs in medicine, biology, and environmental health. Our interdisciplinary team of scientists and engineers from more than 25 countries develops
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from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image analysis, and assessment of treatment response. Within the research group, we
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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homeostasis to better understand chronic diseases . Metabolic syndrome affects up to 40% of the population and substantially increases the risk of developing chronic diseases such as type 2 diabetes
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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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relating to financing, investment and infrastructure development. This means that there is an urgent need for more research relating to the law and policy that would contribute to effective climate change
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stakeholders’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations