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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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machine learning techniques. Programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch), experience with version control systems (e.g., Git). Strong publication record in reputable
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programming will be considered and advantage. We are looking for a highly motivated team player that is curious to learn new things, is self-motivated, and has excellent English communication and writing skills
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, Python, or C++ is required. A strong interest in numerical modelling, sound, signal processing and programming is expected. Additionally, very good command of German and English as well as experience with
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset