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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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, 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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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
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within the Institute of Theoretical Computer Science at TU Dresden. The main research area is the design and analysis of algorithms and data structures, with possible focus areas including randomized
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research environment is highly collaborative and interdisciplinary, spanning genome biology, computational analysis, and translational cancer research. Members of the lab gain expertise in next-generation
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), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
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10 Oct 2025 Job Information Organisation/Company CISPA Helmholtz Center for Information Security Research Field Computer science Mathematics Researcher Profile First Stage Researcher (R1) Positions
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/casa-sdl-dbe/pinm ) 3. ProSeC: Bacterial protein secretion: from modeling and data analysis to application (Link: www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe/prosec ) 4. VICAR: In vivo