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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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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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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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insecurity, which will include sampling; training and managing research assistants (survey enumerators); team-based, quantitative and qualitative data analysis; and working with a network of European
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yet are essential to account for their nature and functioning. The post-doctoral researcher will work with the Research Team to address this lacuna through comprehensive analysis across multiple in
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on the networked interactions between stakeholders in regional innovation ecosystems and assessing effects of interventions in such networks. We are interested in understanding the role of stakeholders in the set-up
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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community network. Furthermore, we regularly enjoy social activities together outside of working hours. Responsibilities and qualifications The project aim to study the application of metal-organic thin films
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 16 days ago
research, teaching, and professional development. KEG – Department of Human Geography KEG is one of Sweden's leading geography departments, featuring extensive international networks and methodological