867 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"Max-Planck-Institutes" positions in Germany
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for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as part of a degree program. In particular
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17.02.2026, Academic staff A doctoral position (75% TVL-E13) in numerical analysis is available at in the DFG-funded Emmy-Noether Junior Research Group of Dr. Muhammad Hassan on the Numerical Analysis of Electronic Structure Methods for Molecules and Materials. About the PhD Project: The goal of...
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offers a lively, international research environment with well-equipped laboratories and computational facilities. The DSMZ strives to increase the proportion of female scientists and encourage female
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Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website ( www.cda.cit.tum.de/research/machine_learning
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system What you bring to the table You are studying mechanical engineering, physics or a comparable subject Initial knowledge of FEM simulation with programs such as Ansys is an advantage Ideally, you have
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Geosciences – as well as the Marine Observation Department, work interdisciplinarily within the framework of a joint research programme . Equal opportunities, family-friendliness, and work-life balance
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truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and Core
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group, please submit your application including all relevant documents (curriculum vitae, copies
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness