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neurosymbolic AI to extract information from unstructured text. Use NLP methods for modelling narrative text. The focus on each of these tasks can vary based on the expertise of the applicant. The University
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-throughput test systems of high interest for industrial and regulatory application Improve the interpretation framework of transcriptomics data by developing ontologies for co-expression methods in
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field (including but not limited to Philosophy, Media Studies, Iranian Studies, and Secular Studies); have experience in qualitative research methods, in particular digital media studies and analysis
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techniques and metrics to assess system cyber posture and resilience throughout system development and operational lifecycles; Developing techniques for context-aware conciliation of software component
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knowledge graph models of such transformations that are self-describing when applied to existing map repositories, and can be scaled up to large data repositories using state-of-the-art AI methods. In
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science communication – and you will be able to contribute to supervision. There is a significant degree of freedom in terms of research questions and methods, but in general we are interested in
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) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
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integrating a new-to-nature carbon fixation pathway into novel synthetic organelles of fast-growing Cyanobacteria, the project promises a simplified, efficient, and sustainable method for producing isoprene
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understood development of crucial importance in the rise of complex societies in West Asia. Recent archaeological research into social inequalities has either used quantitative methods, such as the GINI
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evolution for decades. Yet, with the rise of modern cutting-edge technologies, we can now use novel, data-driven methods to explore the ancient past and unpack the origin of language. This postdoctoral