Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Max Planck Institute for Marine Microbiology
- Deutsches Elektronen-Synchrotron DESY
- Technical University of Munich
- ;
- Dresden University of Technology •
- Forschungszentrum Jülich
- Karlsruhe Institute of Technology
- Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research
- Karlsruhe Institute of Technology •
- Max-Planck-Institute for Marine Microbiology
- TUD Dresden University of Technology
- 1 more »
- « less
-
Field
-
Position Description Mathematical Statistics provides the foundation for the rigorous description, analysis, and interpretation of random and complex data and processes. The field plays a key role
-
hierarchical, fault-tolerant architectures for system lifecycles and automated recovery About you: University degree in computer science, physics, mathematics, engineering or related subject, or comparable
-
05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
-
to apply Website https://www.digs-ils.phd/apply/phd-positions/how-to-apply/#pk_campaign=Euraxess… Requirements Skills/Qualifications You hold (or anticipate to receive before taking up the PhD thesis
-
leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. As part of the cluster's technology transfer activities, this project aims
-
professorships in the field of data science. The goal is to promote research and teaching through synergies in legal, economic, social, security-related, and mathematical issues in the field of data science. Your
-
, climate science, physics, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth
-
the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python (scientific
-
: Degree in computer science, computational science, applied mathematics, or a related field Experience with numerical modelling and analysis and handling of large simulation datasets Strong knowledge of HPC
-
, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth System Modelling Strong