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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems
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, the project PSYBER - Assessing Cybersecurity Preparedness will be executed closely with Prof. Marcus Völp (Robustness and Resilience in Computing), Prof. Pedro Cardoso-Leite (Faculty of Social Science
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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(Horizon Europe Programme). TRANSFORM investigates the efficacy of transformative practices as mechanisms for initiating and consolidating transitions in urban mobility cultures, and analyses the resulting
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: Socio-spatial implications of transformative practices”) is a Doctoral Network funded by Marie Skłodowska-Curie Actions (Horizon Europe Programme). TRANSFORM investigates the efficacy of transformative
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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between Edge Aerospace SARL and the CritiX group at SnT to explore safety aware space computing systems for resilient information processing. The challenges we aim to address include withstanding
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on multiscale analysis of brain disorders with a focus on Parkinson’s and Alzheimer’s disease, and epilepsy by combining experimental and computational approaches. For a collaborative project within the Institute