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, enabling in-depth profiling of tumour biology. A major component of your work will be to establish intratumoral heterogeneity maps using spatial proteomic profiling, including the use of laser capture
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analyse both existing panel data and newly collected survey data (e.g. with multilevel regression and longitudinal panel analysis). We will refine existing network measures to better capture inherited
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of being involved in the analysis of those measurements. This project builds on the notion that social experiences early in life are crucial for the development of human communication skills. The project
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or are willing to acquire the relevant skills during your PhD project. You have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able
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of social justice, development and inequality, and theories of care. You are trained in qualitative methods and analysis approaches. You have experience in collecting and analysing qualitative data, ideally
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skilled in quantitative research analysis techniques. You are a team player who wants to play an active role in an inter- and transdisciplinary research community and training programme. What we offer you
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qualitative methods and analysis approaches. You have experience in collecting and analysing qualitative data, ideally in relation to the themes of this project. You have experience with conducting fieldwork
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have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able to conduct independent academic research and present your findings
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towards a new conceptual model that explains the individual dynamics of fatigue. The project will start with an analysis of already-collected data. You will use several forms of time series analysis