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, formal methods, and/or networking, with interests in one or more of the following areas: NetKAT and its extensions, symbolic automata, routing algebras, packet scheduling, and AI-based cybersecurity. Main
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systems. The prospective PhD candidate will work in close cooperation with staff, current PhD candidates and master students in the software engineering research group (https://www.hvl.no/en/research/group
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to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: PhD (or near completion) in engineering, maths
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). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail
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of the software and its configurations. This project will investigate novel techniques for the application of formal methods to the design, verification, and validation of embedded systems, with particular emphasis
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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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mixed-methods analysis plans to effectively blend qualitative and quantitative data using established mixed-method approaches · Design and implement multiple method analysis plans when formal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
and build novel data resources and statistical methods to enhance and improve clinical data science, and (3) create curricula and training resources for a clinical data science education program at UNC
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The purpose of the project is to build a secure by design AI inference stack using the latest advancements in AI, security, and formal methods. Modern AI inference systems combine complex software