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and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and
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to biomedicine. The Ideker lab also supports multiple open-source software projects, some with 10K+ users. The Research Software Developer will work under the supervision of the senior members of the software
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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, including, but not limited to, the following areas: Entertainment media Artificial Intelligence (AI)-related technologies, such as social robots, generative AI, recommendation systems, and algorithms Social
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
combining multiple ML models have been explored to optimise predictions, enabling algorithms to collaborate and achieve better results. Ensemble methods, in particular, have demonstrated superior performance
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algorithm that reliably simulates two-phase flow. The PhD projects will be part of developing and analyzing relevant numerical methods and implement them in an open-source framework that will be made openly
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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, and proficient in the Microsoft Office suite of products. * Ability to manage multiple projects in a fast-paced environment while maintaining accuracy of work. * Superior organizational skills - must be
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, computers and instrumentation hardware. Ability to install and oversee installation software algorithms for distributed controllers and maintain associated databases. Ability to coordinate maintenance and
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to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton’s computational research software. Our