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Field
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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Python. Close scientific collaboration with researchers in fluid mechanics, theory, and numerical simulation at ARCNL, TU/e, and UvA. Possibility to enhance your experimental research work with advanced
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theory that enable advantage in quantum information processing tasks, in particular, those present in photonic implementations of quantum computers. There is not a single way to harness these quantum
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with skills in quantitative analysis and an interest in political theory, or in applied philosophy with proficiency in quantitative data analysis, will be given priority. An interest in developing
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 14 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0022-NPP-NOV26-MSFC-Heliophys How to Apply All applications must be submitted in Zintellect Please visit the NASA
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project 1. Only 2% of the human genome sequence codes for proteins, while most of it consists of noncoding sequences, including regulatory factor binding regions, transposable elements, pseudogenes
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theory with insights from economics, sociology, psychology, and economic geography. Methodologically, the department places considerable emphasis on the solid application of empirical methods, featuring
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computing in collaboration with the faculty supervisor and members of the research group. The research focuses on applying coding theory to develop innovative fault-tolerance protocols that support scalable
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for Researchers and the Code of Conduct for the Recruitment of Researchers. 1. The requirements to be met by the candidate (detailed description of the knowledge, qualifications, skills, and professional
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you academically in the long-run. Anticipated Division of Time 50%: Conduct primary research project. This includes engaging in fieldwork, conducting interviews, coding data, writing, and giving talks