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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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interdisciplinary work in the areas of spatial biology, image analysis, single-cell biology and genomics. The research group is embedded in the Wallenberg Center for Molecular and Translational Medicine (WCMTM) and
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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
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uncertainty be modelled and propagated to support large-scale change analysis? Approach: You will combine advanced robotic localisation and high-resolution mapping methods with advanced machine learning feature
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project:“Histological and morphological analysis
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uncertainty be modelled and propagated to support large-scale change analysis? Approach: You will combine advanced robotic localisation and high-resolution mapping methods with advanced machine learning feature
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
network across a large, decentralized research university. This role leads complex, cross-functional analysis on security initiatives that span technology, policy, and business process, driving
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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