vor 15 Tagen
Vollzeit
Teilzeit
Junior
Mid-Level
07.11.24
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Einführung
The Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin is seeking a Research Associate in Machine Learning for an Agility subproject.
Aufgaben
- Independent and responsible research in the field of machine learning
- Development and implementation of XAI methods for ML models in quantum chemistry
- Incorporation of physical knowledge about the target systems into the models
- Evaluation of the developed methods using benchmark problems
- Communication of results through presentations
Voraussetzungen
- Successfully completed university degree (Master, Diplom or equivalent) in Physics, Mathematics, or Computer Science
- Proven experience in machine learning with a strong understanding of algorithms, linear algebra, functional analysis, and related mathematical concepts
- Solid knowledge in physics, including methods for solving the Schrödinger equation
- Excellent programming skills in Python and solid knowledge of common machine learning frameworks such as PyTorch or TensorFlow
- Strong communication skills in English and the ability to explain complex topics to a broad audience
- Familiarity with state-of-the-art machine learning models and approaches for modeling molecular force fields with ML
- The ability to teach in German and/or in English is required
vor 15 Tagen
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