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to pioneer novel research opportunities enabled by one of the brightest sources in the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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employment, distributed throughout your study period, and result in a corresponding extension of the studies. Departmental duties usually consist of teaching at first- and second-cycle levels, but may also
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reasons to the contrary (minimum 50 %). As part of your employment as a doctoral student, you may have departmental duties corresponding to up to 20 % of full-time employment, distributed throughout your
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of full-time study, and leads to a doctoral degree. As part of your employment as a doctoral student, you may have departmental duties corresponding to up to 20 % of full-time employment, distributed
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of the subject area Epidemiology is the study of the distribution and determinants of health-related states or events (including disease) in human populations. We apply this definition broadly and do not limit
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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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are distributed by a service provider (e.g., WhatsApp), all users will consistently get the same public key for any given user. The PhD student will focus on protocol design, security proofs, and integration
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welcomes applicants with varying backgrounds and experiences. We work actively to take advantage of the qualities that diversity and an even gender distribution contribute to our operations. We have chosen