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Helmholtz-Zentrum Dresden - Rossendorf e.V.
In dieser Position identifizierst du geeignete Machine-Learning-Methoden für geochemische Systeme, entwickelst mathematische Modelle und führst Unsicherheitsanalysen durch, während du eng mit Projektpartnern zusammenarbeitest.
Helmholtz Zentrum für Umweltforschung GmbH
Support the departments CER, RS, and CHS by building a flexible data archive and management system for spatio-temporal datasets such as remotely sensed data, climate and impact model simulations, reanalysis and gridded observation-based data....
In this role, you will contribute to ongoing research efforts in developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithms software package...
Being part of the OpenWorkFlow project, this position aims to enhance reactive transport modelling by integrating state-of-the-art machine learning methods. Reactive-transport models are critical for understanding and predicting the movement and...
Literature survey for State-of-the-Art report for DT concepts and implementations in nuclear waste disposal. Identification of suitable models for major processes of radionuclide migration in the geological environment, as well as respective codes /...
The successful candidate (f/m/d) will be part of the interdisciplinary DRESDENconcept Research Group "AI4Quantum", which develops and applies novel machine learning (ML) methods to study complex quantum systems relevant to the green energy transition....
Design, implementation, comparison and testing of uncertainty quantification of AI models for computer vision in collaboration with other team members. Research on current topics of image analysis/computer vision and generative AI in terms of...