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more complex data structures and real-time interaction requirements. Similarly, machine coding, designed for automatic content analysis by artificial intelligence systems, challenges traditional
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. Essential Functions: Collaborate with the professor on ongoing research projects. Conduct literature reviews and assist in data collection and analysis. Contribute to the preparation of research publications
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that can support and enhance intelligence analysis for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed
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, including complex agreements for software, hardware, and cloud services. Conduct financial and risk analysis to support data-driven procurement decisions. Develop long-term sourcing strategies and maintain
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initiatives. You'll be part of a dynamic Financial Services Team where collaboration and mentorship are at the heart of everything we do. Whether you're working on complex financial analysis, budget management
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, integrity and availability of AHS’s business, research and information assets. They will procure infrastructure solutions for receiving and managing complex participant data and will lead a robust information
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the consolidation of a large volume of highly complex accounting and/or financial data into formats suitable for presentation. Develops, implements, and maintains financial and budget systems to ensure proper
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to augment classical spike train analysis methods particularly those developed by Prof. Grün and others for detecting synchronous spiking activity with AI-based enhancements. After profiling the classical
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across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day ago
lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning, single-cell analysis, and computational modeling of complex biological