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language models) against various threats that may occur in the real-world. Successful PhD candidates will extensively explore and develop software security and testing techniques for machine learning systems
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The successful candidate will join the Serval research group by working on the Quantum Software Engineering project. The subject of the thesis will be “Quantum Software Engineering” and involves
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will pursue a Ph.D. degree (Doctorate) in computer science or software engineering with a focus on differential privacy (DP) and other secure computing techniques while collaborating with the Ministry
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accessibility measure ; oTo test the usability of hybrid accessibility with practitioners.-Expected Results: oDevelopment of ‘hybrid accessibility’ as a new concept in sustainable mobility research ;oDesign of a
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their products to offer the optimal subjective and objective experiences to their customers. This PhD will focus on improving this understanding, identifying critical parameters and developing test approaches
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experiences to their customers. This PhD will focus on improving this understanding, identifying critical parameters and developing test approaches to address this gap. The candidate will be expected to lead
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completion timeframe and originality of contribution ;oParticipate in network-wide training events in the course of the project and complete any additional training required to successfully carry out
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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suggest any other topic within the overarching project theme. The doctoral candidate will contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and
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as a researcher? Join us! ESRIC is conducting activities in three main areas: Research and testing facilities, Business support and incubation, and Community management. The primary objective of ESRIC