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Field
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edge AI hardware/software. Contribute to designing and evaluating scheduling algorithms for virtualized or distributed AI resources under varying load, latency, and failure conditions. Build and test a
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, as well as designing, testing, and debugging to improve software quality across domains such as FinTech, energy, and Industry 4.0. Within this context, the PhD will contribute to the group’s growing
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software development in relevant applications, including system analysis, design, implementation, testing and deployment. Candidates with limited experience in exoplanetary science but with strong relevant
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this bench to test this component as an adaptive apodiser, in conjunction with an adaptive optics system, including the development of wavefront control methods based on information obtained in the pupil plane
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interdisciplinary projects. Development, testing, and evaluation of methods and software systems directly on our real test vehicles (see image) for automated driving. Application of modern software engineering
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-field communication (NFC)-based electrochemical lateral flow assay (eLFA) digital platform. The delivery of this technology will increase large-scale testing of folic acid levels in fortified food
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of databases and data visualization. - Design of a timber architecture guide and a manual for the use of hardwoods. - Execution of experimental tests for the characterization of structural components and
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and pursues the goal of contributing to the development of a sustainable society in the digital age through research, teaching and administration. The Institute for Software and Systems Engineering
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vulnerabilities and software testing practices Proven research record with publications in relevant venues (AI, security, and software engineering conferences/journals) Strong analytical and problem-solving
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new