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Field
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Description We are hiring research support staff to help drive a project applying Fully Homomorphic Encryption (FHE). You will join the team to help design, implement and test a protocol for privacy-preserving
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are invited for a postdoctoral fellowship at ENS Lyon in the field of machine learning. The position is part of the research project "Neural networks for homomorphic encryption", funded by Inria. Fully
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Applications should consist of a single PDF file. Applications via email are not encrypted and may therefore entail data protection concerns. The applicant takes full responsibility for this. Regarding any
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knowledge of data encryption technologies and experience selecting and applying appropriate data encryption technologies. Advanced proficiency in scripting and programming languages (e.g., PowerShell, Python
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intrusion detection and prevention, security event log analysis, management reporting, virus prevention and remediation, encryption, network segmentation, remote access and authentication. Supports, maintains
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applications in electronic form must not exceed a size of 15 MB for technical reasons. Data protection The University of Erfurt uses an e-mail system with transport encryption capabilities. Please send your e
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, complex data sets. Awareness of information security best practices such as access control, encryption, and monitoring. Ability to troubleshoot issues across applications and databases. Availability
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intrusion detection and prevention, security event log analysis, management reporting, virus prevention and remediation, encryption, network segmentation, remote access and authentication. Supports, maintains
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companies are investing heavily in “post-quantum cryptography” to prepare for the day when quantum computers can break today’s encryption. But cryptographic software alone is not enough; trusted physical
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the areas of Machine Learning (ML) and Artificial Intelligence (AI). Focus will be placed on applications of these technologies in cybersecurity and anomaly detection in encrypted network data. The successful