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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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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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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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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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research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential psychology
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total at Aalborg University. Profile: The ideal candidate has A PhDdegree in Geodesy, Hydrology, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a
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, the Department of Mathematical Sciences, and industrial partners to ensure strong scientific and practical outcomes. In addition, the Postdoc will contribute to teaching and student supervision, as
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contributes meaningfully to the broader scientific field Your competencies The successful candidates should have excellent grades, strong mathematical and simulation skills and problem-solving mind-sets. It is