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ABOUT US The DWI – Leibniz Institute for Interactive Materials is a research institution of the Leibniz Association funded by the federal and state governments. It is based on the Melaten campus
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
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weekly working time of 40 hours per week. The position can be filled on a part-time basis. Background: Addressing climate change and biodiversity loss requires a deep understanding of global land-use
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. The position is associated with the project “Probabilistic Reasoning about Common Ground” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research
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object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning for deformation
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science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
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Experimental Nuclear Physics (all genders) Posting ID: 25.64-1270 within the HISPEC/DESPEC collaboration, being one of the largest collaborations of the NUSTAR (Nuclear Structure, Astrophysics and Reactions
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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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parameters, strongly interacting systems), physics of the early Universe (dark matter, leptogenesis), physics of heavy ion collisions (quarkonium and jet suppression) and nonequilibrium physics. We deal
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous