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research methods, such as advanced natural language processing (NLP) and text mining (AI content analysis), digital ethnography, online social network analysis, AI content generation, social media analytics
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of providing excellent research that can enable solutions for transition to a sustainable society. The department offers a dynamic and inspiring academic environment, and well-developed networks with industry
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, or chaotic neural networks. Experience with network dynamics. Experience with time-series analysis. Experience with stochastic processes. Experience with computational modeling of biological systems
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description ORFeus is a Marie Skłodowska-Curie Actions Doctoral Network, funded by Horizon
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, preferably in Python, and experience with optimisation solvers Familiarity with infrastructure asset management, Bayesian networks, decision analysis, Value of Information analysis, or business process
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close working relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance Place of work and area of employment The place of work
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for AI-enabled services, and resilient network operation, including fault diagnosis, root-cause analysis, and autonomous remediation. The methods will be validated through FNS use-cases, network data, and
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microscopy, in order to identify differences in bone tissue architecture, osteocyte network organization, and skeletal development processes. Particular attention will also be devoted to characterizing
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Study alongside Professor Oliver Heath and the BES Scientific Leadership Team. Duties will include contributing to a programme of original research using the BES; data analysis for inclusion in BES
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interest in, institutional ethnography, document analysis and co-design with civil society and oversight actors. Professional working proficiency in English, spoken and written. Non-native speakers are very