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technical infrastructure. The Cognitive and Translational Neuroscience Core facility (CTNC ) is a key component in this infrastructure. This position will be a collaborative effort between CTNC and the Centre
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for transformation and harmonisation of various data sources, and integrations with other software solutions in the context of data analysis/AI in life science research. Architecture and development of novel solutions
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Middle Eastern area studies. In the China/Korea section there are two lecturers in Chinese language and six associate and full professor positions with both a teaching and a research component. The main
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an element of outreach practical training as an integral part. The department has four research groups and a high level of activity in external activities. This is affiliated with the department's unit
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. The applicant’s personal suitability for the position is a significant factor in the evaluation. Educational competence is a requirement for the position, see guidelines for establishment of a pedagogical portfolio
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develop and apply various neutron activation analysis (NAA) methods and techniques, using 14 MeV neutrons from a DT-generator. We work in close collaboration with radiochemists at the Institute for Energy
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an important factor in the evaluation process and should be well documented in a teaching portfolio. The applicant should describe her/his qualifications in view of the Scholarship of Teaching and Learning (SoTL
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positions with both a teaching and a research component. The main research areas of the current staff cover broad areas of China studies, such as language and literature, history, religion, environment
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that the relationship between the teaching profession and education is challenging, with the practical component of education needing greater integration and addressing topics that prepare students for the teaching
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to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements