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Graph Machine Learning and Graph Data Management At Section for DATA, Department of Computer Science, Aalborg University, a postdoc position is available. The project is funded by a Novo Nordisk
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theory, physics, mathematics, computer science, and statistics. This Postdoc position falls under Research Thrust RT4 on Reliability and Trustworthiness. The objective is to explore and address research
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are essential, particularly in one or more of the following areas: Probabilistic or Bayesian Machine Learning Variational Inference, Ensemble, or Diffusion Models Spatio-Temporal or Sequential Modelling Graph
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theory, and is expected to have experience with the practical implementation of control algorithms. Who we are Learning and Decision at AAU, founded in 2020, focuses on developing mathematical methods
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. • Qualitative analysis: coding, interpretative policy analysis, and frame or/and discourse analysis. • Knowledge of theories related to migration, solidarity, urban policy, political geography, integration
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skills, with the ability to bridge theory and experimental data Experience with computational tools such as MATLAB, Python, and multiphysics simulation platforms (e.g., COMSOL, Ansys) Motivation to engage
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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for use in emergencies scenarios. Moreover, the Postdoc will have the following key responsibilities: Conduct cutting-edge research on mathematical modelling and simulation for satellite communication
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and methodological rigor Approaches research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Actively contributes to public debates and societal discussions