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Foundation (DFG) project "Kernel interpolation on Riemannian manifolds", led by Dr. Janin Jäger. The project focuses on the mathematical analysis of kernel-based methods, in particular their interpolation and
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: Algebraic geometry and number theory Area 3: Stochastics and mathematical finance Area 4: Discrete mathematics and optimization Area 5: Discrete geometry Area 6: Numerical mathematics Area 7: Applied analysis
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Risk Analysis Group at TUM and Prof. Maria Pina Limongelli at Politecnico di Milano, offering an excellent international research environment. About us The Engineering Risk Analysis Group at TUM
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
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regulation, RNA biology, protein biochemistry, stem cells, bioinformatics, sequence analysis, mathematics, statistics, molecular evolution, or biophysics, and wish to work at the Max Planck Institute
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simulations Enhanced sampling Molecular Dynamics simulations Your Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid
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research area is the design and analysis of graph algorithms, with possible focus areas including parameterized algorithms, structural graph theory, graph symmetries and similarities, and algorithmic model
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the research and teaching activities at the Chair of Algorithmic and Structural Graph Theory within the Institute of Theoretical Computer Science at TUD. The main research area is the design and analysis
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distribution of subsurface heterogeneity to illuminate the imprint of past and present deformation. Project 2: Generation and analysis of a high-quality seismic catalogue in Greece and Albania with Deep Learning
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methods for dealing with time-dependent and/or unmeasured confounding. We seek an excellent, open-minded, and team-spirited PhD candidate who is interested in statistical aspects of secondary data analysis