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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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. Extensive knowledge of statistical methods including multivariate and univariate analysis of large data sets, learning and predictive modeling, network analysis, and probabilistic approaches to test theories
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. of Mathematical Modelling and Numerical Analysis. The position is funded through the Marie Sklodowska Curie Doctoral Network ACHILLES, which brings together a broad spectrum of expertise, including basic research
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: Łukasiewicz Research Network – New Chemical Syntheses Institute, ul. Sowińskiego 11, 44-101 Gliwice. 1. Participation in scientific research projects. 2. Performing chemical analyses in an instrumental analysis
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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across Europe. Objectives of the Position (1) Study relevant European scenarios for HPP installations, including offshore energy islands and onshore locations, defining scenarios for further analysis
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allowance, long-term leave allowance (if applicable) research, training, and networking events secondments Where to apply: https://elegance.dtu.dk/recruitment Deadline: 31st January 2026 For specific
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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and sucrose movement. 3) Vulnerability Analysis: Use the developed network representation to explore how the plant hydraulic network responds to progressive drought stress; characterize cascading