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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits like grain yield heterosis. In
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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Perform formal verification
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, logical methods, programming languages, computer architecture, and security, to name but a few of the more prominent areas. The graduate school is home to more than 540 doctoral candidates in all fields
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology
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Degree Dr-Ing or Dr rer nat Course location Karlsruhe Teaching language English Languages Courses are held in English (100%). Full-time / part-time full-time Programme duration 6 semesters Beginning
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Degree Dr rer pol or PhD Course location Berlin Teaching language English Languages All courses, workshops, and other events are held in English. All communication within the programme is in English