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and simulation of physical, engineering, or complex systems. The position is particularly suited to researchers with a strong background in applied and computational mathematics who develop mathematical
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Employment Career Development Help and FAQ Apply Now Responsibilities* Develop computational methods, tools & algorithms for mass spectrometry-based proteomics data analysis; design and implement new FragPipe
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Research Infrastructure? No Offer Description The objective is to develop advanced algorithms for AI-enabled semantic and robot-control-aware communication with a particular focus on the management and
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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Description The Universidad Carlos III de Madrid invites applications for a full-time technical research support position within the project DISCO6G-CM – Development and Integration of Sensors and
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Description Candidate will collaborate with the research team to develop methodologies for co-design of AI hardware accelerators. The key focus will be to develop simulation methodologies, models and tools
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conduct research on 3D reconstruction, with a particular focus on developing advanced 3D Gaussian Splatting techniques for dynamic and streaming scenarios. The role will involve designing and implementing
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both to develop algorithms for future fault-tolerant devices and to conduct tests on real quantum hardware. Across the project, the student will identify the main bottlenecks in speed, accuracy, and
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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will work closely with interdisciplinary researchers and engineers to develop novel AI algorithms, publish in top-tier venues, and translate research innovations into real-world sustainability solutions