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. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we
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) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program based on Density Functional Theory, which can describe the atomic and electronic properties of systems
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have expertise and experience in executing density functional theory (DFT) calculations, microkinetic modeling, kinetic Monte Carlo simulations, and Machine learning methods. Minimum Qualifications: Must
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research papers at national or international conferences and communicate complex information to specialists and within the wider academic community. 5. Experience in algebraic number theory
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research in this area. Qualifications Research will focus on signals in the physical layer and is expected to use methodology from communication theory, wave propagation, signal processing, and electronics
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the position Experience with independent planning, execution and evaluation of experiments, including statistical analysis Familiarity with theory and techniques of chemical analyses or metabolomics is required
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or background. Together, we celebrate difference, value one another and are each responsible for creating an inclusive community that is respectful and fair for all. Find out more about the benefits of working
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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infrastructure, financial and fiscal policies, affect behaviour by influencing the feasibility and attractiveness of options. Yet, little is known on how such systemic factors affect behaviour vis-a-vis different
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track