63 parallel-computing-numerical-methods "Simons Foundation" PhD research jobs in Germany
Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Helmholtz-Zentrum für Umweltforschung - UFZ
- Leibniz
- Technical University of Munich
- Nature Careers
- University of Tübingen
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Heidelberg University
- Technische Universitaet Dresden
- ;
- Academic Europe
- CISPA (Stuttgart)
- Carl von Ossietzky Universität Oldenburg
- Free University of Berlin
- Friedrich-Alexander-University Erlangen-Nürnberg
- GESIS - Leibniz Institut für Sozialwissenschaften
- Goethe-Universityrankfurt
- Kiel University;
- Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik
- Leibniz University Hannover
- Max Planck Institute for Demographic Research (MPIDR)
- University of Hamburg
- University of Mannheim
- University of Stuttgart
- Universität Bielefeld
- Universität Siegen
- 17 more »
- « less
-
Field
-
and developing dependable automated driving systems based on software and systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer
-
information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
-
accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
-
to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
-
7 Dec 2025 Job Information Organisation/Company University of Mannheim Research Field Computer science Information science Economics Mathematics Researcher Profile First Stage Researcher (R1
-
to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
-
Solid knowledge of molecular biological methods Experience in executing large-scale evolution experiments Sound knowledge of ecological and evolutionary theories and concepts Practical experience in
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
-
interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline