Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information
-
experience with statistical modelling, regression analysis, or predictive analytics; Strong programming skills and practical experience with data-driven research; Affinity with or experience in cyber security
-
mitigation, IIoT Security, Malware analysis, etc. More information about the group can be found here . He aha ngā take me tono mai ai koe? - Why should you apply for this position? We want you to be part of
-
systems. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship In the Directorate of Navigation, the ESA NAV Cybersecurity Audit Team plays a
-
. LanguagesENGLISHLevelGood Additional Information Website for additional job details https://www.tue.nl/en/working-at-tue/vacancy-overview/phd-on-secresy4you-hybrid… Work Location(s) Number of offers available1Company
-
heterogeneous cyber data. While traditional techniques such as Principal Component Analysis (PCA), clustering, and autoencoders help reduce dimensionality and improve detection performance, they remain
-
. of Matematica e Informatica duration: 12 months Where to apply Website http://www.unife.it/concorsi Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
-
to Work Packages 2 and 3, focusing on the development of data-driven and learning-informed control methodologies for networked cyber-physical systems (NCPSs). Modern CPSs—such as industrial automation
-
their reliability and real-time performance? Then apply for the PhD position on Adaptive Connectivity Architectures for Cyber-Physical Systems! Information Modern cyber-physical systems (CPS), such as semiconductor
-
the modelling, simulation and analysis of the large, complex and dynamic systems (e.g. cyber and physical systems). The PhD student will join the Sheffield Control and Power Systems (CAPS) Laboratory (https