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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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international network of scientific and clinical collaborators. Your job The successful candidate will join an interdisciplinary research group that utilizes multi-omics technologies, including spatial
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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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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
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meaningful economic and social benefit. We are recruiting for two fixed-term roles, a Senior Commercialisation Advisor and a Commercialisation Advisor, offering the opportunity to match the scope of the role
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network analysis), risk and reliability analysis, and/or network optimization, alongside mentoring Ph.D. and Master’s students in computational infrastructure research. Additionally, the candidate will