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of religion. Methodologically, the project does not presuppose a modern concept of disability or healing and instead works with an actor-centered approach. The analysis is focused on intersections of dis
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. This analysis will contribute to a broader theoretical understanding of the governance of urban transformations. Finally, the third step is to translate these insights into practical recommendations
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interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function, DAMs, and multiplexing
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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will have a strong background in socio-technical threats and attacks, deception and social engineering, and security and cybersecurity metrics analysis (qualitative and quantitative). With a high
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mechanisms involving genetic, epigenetic and chromatin organisation factors governing the cell-type specific response to ARS mutations. Therefore, integrative genome-wide cis-regulatory network analysis
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required Experience with clinical trials Experience with data analysis Experience with RedCAP Experience with large-scale data, such as genomics and transcriptomics data Programming experience, preferably in
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experience with scientific computing, data analysis, machine learning and/or AI You have an interest in environmental sustainability and pharmaceutical production Considered a plus: You have experience with
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questions: Content analysis: Which core concepts are introduced in the article, and how do they relate to each other? Are there any other concepts or legal rules that could be involved in the research
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-regulatory network analysis approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis