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interdisciplinary research across AI hardware, software, and algorithms. AI Accelerators, ML Algorithms, AI Frameworks, and Model-System Codesign have been focus areas in the past - we are always excited to sponsor
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that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
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. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
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of Computation Group, seeks applicants for a postdoctoral fellowship to conduct research in differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic
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algorithms Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical
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Project link: Next-Generation Farrington Model for Infection Prevention and Control: An Enhanced Farrington Algorithm with Spatiotemporal and Adaptive Baseline Capa | Project Opportunities | PhD
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datasets, algorithms, and tools for specific AI applications Integrate AI capabilities into existing software systems and applications Collaboration and Documentation (20%) Collaborate with cross-functional
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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview: As a Senior Machine Learning Engineer, you will specialize in engineering
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energy, and condensed matter applications. The scientists at BNL who are part of C2QA’s theory and algorithm thrust span these different domains in physics. We are thus particularly interested in