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Field
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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Robotics and AI - Luleå University of Technology (ltu.se) Wallenberg AI, Autonomous Systems and Software Program
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international research network and are provided with personal computers, printer access, extensive library resources, and a wide range of software. Further information on the Department of Economics and on
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About the Role We are seeking an enthusiastic and ambitious senior biostatistical researcher to join our interdisciplinary team designing, developing and testing new bioinformatic pipelines
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disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: if you have a strong interest in plant physiology and root biology. if you
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software. The TELOS collaboration, co-led by researchers at Swansea University and The University of Edinburgh, and with links in other Institutions in the United Kingdom, Taiwan, Korea, Austria and Japan
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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
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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