112 information-security "https:" "https:" "https:" "https:" "https:" "UCL" positions at Aalborg University
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applications for a one year, full-time scientific research assistant position as part of the Carlsberg Foundation–funded POLSAFE project (Can Police Presence Decrease Perceived Safety?). The position is full
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on different aspects of AI, with main focus on visual data. You may read more about VAP Lab, including current projects and members, here: https://vap.aau.dk/ The candidate will also be part of the Pioneer
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on working in Denmark and at AAU at https://www.en.hr.aau.dk/information-and-guidance Salary and terms of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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teaching in such educations is a requirement. The successful candidate will be part of the Neurorehabilitation Engineering and Robotics research group: https://vbn.aau.dk/da/organisations/neurorehabilitation
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Interaction venues. For further information about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems How to apply Your application must include the following: o Application, stating reasons
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and Distributed Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and
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assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace. Salary and terms of employment The employment is in accordance with
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to data from a nationwide annual safety survey administered by the Swedish Crime Prevention Council, with responses from approximately 65,000 citizens. This dataset enables a rigorous evaluation of the