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Field
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Classification Title: Post Doctoral Associate Job Description: A Post-doctoral Associate in Social Network Analysis position is available for up to 2 years to work within the NSF supported project
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and compare two distinct mathematical approaches to network metrology: Spectral analysis approach – based on network layer decomposition and spectral measures on singular values to mathematically
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity
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of modeling higher-order relational structures such as hypergraphs and simplicial complexes, which are prevalent in complex biological systems like protein assemblies, signaling pathways, and metabolic networks
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the following topics: Large Language Models and Multimodal Language Models Generative Networks and Diffusion Models Program Analysis Software Testing Automation The candidate should have critical thinking and
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or demonstrated interest in entrepreneurship, small business management, strategic decision-making, supply chain management, and\or network analysis. Ability to acquire and work with existing data sources
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 3 hours ago
) Scientific and professional mentoring, strong support for personal career development, and access to trainings, networking opportunities, and other resources provided by the Max Planck Society Opportunities
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working