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methods for studying somatic mutations at increasing scale and precision. In close collaboration with the Huang lab and others, we are 1) Developing new experimental and computational tools to identify
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involves formalization in type theory and the mechanization of results using interactive theorem provers. The project welcomes a broad range of perspectives across functional-imperative programming
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reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a structured development programme and provision of both formal and ‘on-the-job’ training
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require in-depth qualitative analyses but also mixed-methods approaches, possibly enabled by emerging AI-enhanced techniques. The PhD project should overall contribute to a better understanding
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of political science, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment is for a fixed, non-tenured term of 4 years
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component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training. Qualifications and personal qualities: The applicant must hold a
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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new models of examining the data To provide teaching to junior staff in the lab in neuroscience-related research methods, especially in pre-processing and processing of EEG data from infants/children
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for simulations, we aim to explore solution strategies to calculate the amount of water given meteorological data and map data. Here, in addition to traditional discretization methods such as finite elements and
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integrative methods that combine health records, molecular phenotypes, and genetic data to explore disease aetiology. This position is part of the Pioneer Centre for SMARTbiomed, a national research initiative