32 parallel-computing-numerical-methods Postdoctoral research jobs at Aarhus University
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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Applications are invited for a 1-year Postdoc position in the field of Intelligent Control for Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark
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Join us at the Department of Electrical and Computer Engineering at Aarhus University to help shape the future of sustainable water management. In close collaboration with the Hydrogeophysic Group
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, Fortran, or other relevant languages. Knowledge of statistical methods for climate data analysis. Experience with high-performance computing (HPC) environments. A strong publication record relative
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controversy and issue mapping, visualizes the similarities and differences of what issues are analyzed as risks and what methods are employed in the analyses. The map constitutes the backdrop for deeper
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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Join us at the Department of Electrical and Computer Engineering at Aarhus University to help shape the future of sustainable water management. We’re looking for a motivated postdoc for a 1-year
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(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses