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security and machine learning, security measures and usability aspects of security, security of distributed systems, as well as anonymity and privacy issues. Preference may be given to candidates who develop
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are looking for Postdoc candidates to join the team to contribute to our research agenda and to the excellence of the group and of SnT in general. Successful candidates are expected to participate in
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integration of 5G/6G Terrestrial/Non-Terrestrial and Wi-Fi, development of advanced algorithms and optimisation techniques to enhance the performance and efficiency of the integrated RAN, spectrum management
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representation and political disinformation. You will conduct empirical research and publish scientific articles related to the research project. You will collaborate with other project members (PhDs, postdocs
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related to e-mobility (e.g., distributed generation, storage, electric vehicles, smart energy management systems, etc.) and how to design the right incentives for a welfare-maximizing e-mobility integration
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extracting high value from data. To achieve this, IDLab performs fundamental and applied research on Internet technologies and distributed intelligence. The selected applicant’s research should synergize with
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functionality. Your work will involve designing advanced algorithms that efficiently utilize UWB signal features (RSSI, channel impulse response, phase and amplitude data, Doppler maps,..) to support both high
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that transcends the boundaries of faculties and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Raad . Psychosocial well-being at work and
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and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Psychosocial well-being at work and ombudsperson Doctoral and other students
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to determine the available hosting (EV-charging) capacity of the distribution grid (incl. Transformers) as a function of urban and grid morphology (envisaged locations) Job description Analysis of charging data