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guide how teams and organisations build quality software. As a PhD Candidate, you will carry out this work within the Software Engineering group at the Department of Computer Science, one of Norway's
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execution, contribute to experimental design and research strategy, collaborate across teams, and mentor junior researchers. The full job description is available, here: https://www.dropbox.com/scl/fi
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Infrastructure? No Offer Description Start date/duration as soon as possible until 14.09.2027 Job profile: Your responsibilities: PhD thesis in the field of software engineering and model-driven engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
Simulation Laboratory (https://griffith.web.unc.edu). This position would support projects on (1) cardiac digital twins for heart failure and/or (2) cardiac fluid dynamics simulation software development in
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.ICDT (https://doi.org/10.54499/2023.16314.ICDT ), funded by the Portuguese Foundation for Science and Technology (FCT), I.P., in the following conditions: Type of Grant: Research Grant for a PhD student
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, Software Engineering, Computer Engineering, and Cybersecurity. Duties and Responsibilities The duties of the successful candidates will include: Primarily teaching undergraduate/graduate courses in
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, Cyber Physical System, intelligence-driven software engineering, generative and bio-inspired AI, future interaction and cyber-security. It helps to explore not just the technology but how people interact
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to validate the tools against practical design requirements. The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning
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., vLLM, SGLang, or similar inference engines) Strong computational and analytical skills, including solid software engineering ability across multiple languages (e.g., Python, C++, OCaml, functional
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further doctoral training for PhD candidates in the framework of the KU Leuven Arenberg Doctoral School ( https://set.kuleuven.be/phd ), known for its strong focus on both future scientists and