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The Fraunhofer-Gesellschaft (www.fraunhofer.com ) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and
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or an equivalent qualification; (b) be familiar with deep learning algorithms and agent development; and (c) motivation to pursue accomplishments. Applicants are invited to contact Dr Zhou Yanghong
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leaks and evaluating methods for optimizing CO₂ transport. The tasks will include developing and implementing computational algorithms for modeling CO₂ transport processes in pipelines, performing
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. The position will focus on developing computational algorithms and tools for the analysis of mass spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points
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, secure, scalable, and human-centered mission capabilities prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities identify and investigate
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computing, edge computing, service computing, and distributed storage systems. Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models