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. Academic training in cutting-edge computational analysis and design tools. Structured training through network-wide workshops, summer schools, and transferable-skills courses. International secondments
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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) on Population-Scale Social Network Analysis in the context of the Urban Impact Lab and PLANET-NL. The Urban Impact Lab is a new collaboration between the City of Amsterdam and the Faculty of Social and
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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approaches to neural networks, learning-theoretic analysis of algorithms and geometric analysis of the learning landscape. Candidates are encouraged to interpret these subject areas broadly. Fellows will have
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of interviewing and qualitative research work Essential Application/Interview Experience of targeted participant recruitment through social media and professional networks Essential Application
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created in several empirical cases, and critically, their implications for social research. The RA will collaborate with project colleagues in the development and analysis of ‘data journeys’ and an open
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Director of Membership and Network Relations. Key responsibilities & duties: Research & Data Analysis (50%) ● Conduct research to identify key institutional leaders and networks committed to academic
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the Institute's ongoing research, data, and product development efforts Contribute to projects that use dynamic network analysis to refine IRIS and IofI data products capturing regional economic and workforce
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to advance the resiliency and reliability of beyond-5G/6G networks. The candidate is expected to work on the European project PHRESH (https://itea4.org/index.php/project/phresh.html ) and the Dutch National