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sustainability at the heart of technology development and how to translate theoretical insights about historical injustices and discrimination into new technology design methods and education tools. The Research
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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research methods and techniques to work within established research programmes. The successful applicant will be able to work independently and communicate and collaborate effectively with members
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, psychology or a related subject A2. Theories and application of qualitative research methods. Desirable B1. A postgraduate qualification in social sciences, public health, research methods, or other
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publications and presentations as required • To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages
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or depth of knowledge in the discipline and of research methods and techniques to provide research assistance to the project. Please see the Job Description for further details on these posts. The University
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. About the Role Your role will be to develop novel methodologies for qualitative and quantitative pollinator monitoring using a combination of AI and molecular methods. You will work with multiple academic
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the process of building the observatory and the development of methods of impact measurement. 6. Contribute to the presentation of project outputs work at international and national conferences
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to the purification of multi-megadalton membrane protein complexes, followed by structure determination and biochemical/biophysical mechanistic analysis. This project will focus on complex, multi-component membrane
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, mental health, research methods or other relevant subject area. Knowledge and Skills Essential C1. Theoretical and practical knowledge of child and adolescent mental health. C2. Skills in qualitative data