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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 collaborative
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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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politics, political theory, international relations and research methods. The appointment is for a fixed, non-tenured term of 4 years, and has a 25% teaching component. The Department teaches in all the sub
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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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triggers new questions about the locus of agency and learning these emergent collaboration ecologies. Such examinations may require in-depth qualitative analyses but also mixed-methods approaches, possibly
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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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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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scalable systems of design and analytic planning methods to make tangible and systemic impact, and to explore the risks and potentials of emerging technological capabilities such artificial intelligence
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of sedimentology, geochemistry, and microbiology, and general use of destructive, extraction-based methods that are designed for the analysis of large sediment samples. These bulk methods are quantitative but