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Field
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meshes while maintaining low computational cost and high accuracy. Activity 1: Software development (in C++) within the NICE code. Activity 2: Application of adaptive mesh‑refinement methods. Activity 3
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level skills in the other field. PhD or close to completion PhD in Computer Science, Robotics or related discipline Advanced skills in software development and ROS. Analytical skills to understand complex
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, including direct knowledge of its Julia-based modeling environment, software architecture, domain-specific modules, and underlying computational infrastructure. ● Prior hands-on experience contributing
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instruments; a computer and scientific data processing software; access to CNRS databases and documentary resources. Key stakeholders: The UTINAM teams (researchers, postdoctoral fellows, engineers, and
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designing and running user studies, building and iterating on hardware and software systems, analyzing data, and writing up results for top-tier venues in mobile computing and human-computer interaction. CMU
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radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing
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reproducible research software and scalable data analysis pipelines in Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable
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directions, particularly developing novel ML/AI methods and open-source software and data infrastructure · Design, implement, and evaluate computational methods and software for integrating and
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_MGORLA [#31868] Position Title: Position Type: Postdoctoral Position Location
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simulation software related to radiation transport and computational fluid dynamics. Conduct performance profiling of existing scientific software to identify bottlenecks and implement strategies for improving