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English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD
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An opportunity exists to join the world-leading Interdisciplinary Collaboration in System Medicine (ICSM) Research Group to work on an industrially funded PhD project that will use state-of-the-art
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, and analytic methods in a university environment; · Experience with research software applications (e.g. SAS, SPSS) and integrated higher education management software; · Advanced skills in
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feedback loops into the circulation framework. Construct explicit coupling methods to link the vascular models with state-of-the-art disease progression frameworks. Perform global sensitivity analyses (Sobol
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The PhD student will contribute to a large industrial research collaboration with a major
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of a PhD · Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. · Excellent communication
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Networks, and ICT Services & Applications. We offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The focus of this position is in
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experience in AI safety. Demonstrated experience and know-how on AI agents. Excellent working knowledge of AI safety analysis. Technical skills in formal methods Ability to break down complex problems and
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position within a Research Infrastructure? No Offer Description A call is open for the allocation of 1 Research Grant for a PhD student under the R&D the research activities will be carried out within
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methods), system security (hardware, software, platforms) across a wide range of systems, network and wireless security, AI security, human factors in security, and privacy. Successful candidates will have