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innovation? Are you eager to work with Social Network Analysis models (statistical and/or agent-based)? Do you want to be part of a larger lab of researchers? Information You will be a postdoc within ILUSTRE
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, the accuracy and efficiency of the solution depend critically on how the mesh is distributed relative to the underlying physics. Features such as boundary layers, shocks, vortices, thermal gradients 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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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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the Experiential Liberal Arts. Through its research, teaching, and engagement missions, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities
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computational social science methods, social network analysis, AI-driven communication tools, large-scale social media data analysis, and data-informed content production. The successful candidate will advance
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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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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
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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: Bachelors degree in Agriculture, Soil Science, Agronomy, or a related field. Strong background in soil health, conservation agriculture, and data analysis. Ability to work independently and collaboratively in