302 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Germany
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Field
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Willingness to learn and interested in interdisciplinary, applied research Our Benefits Attractive and modern working environment with excellent infrastructure and state-of-the-art scientific equipment
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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, preparing seminars. Supportive tasks: - Editing of academic texts in English: copy editing and proofreading - Creating posters - Maintaining the e-learning pages (Moodle) and the bilingual department website
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recognized journals. As part of your doctoral studies, you will be enrolled in the TUM Graduate Center, where you will: Acquire advanced methodological and research skills Participate in structured doctoral
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biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we seek The ELBE program seeks
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and
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Max Planck Institute of Microstructure Physics, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 3 months ago
programming and numerical modeling Candidates do not need to have experience in all of these areas. Applicants with a strong background in electronic-structure calculations and an interest in learning quantum
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Basic knowledge in at least one of the following areas: integrated photonics, optical communications, machine learning/neural networks, or numerical simulation of optical systems Programming experience in
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) Ability to teach in both German and English Ability to work independently as well as part of a team Fluency in scientific English (at least level B2 or comparable) Research interests in political violence
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers