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Field
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independently Excellent communication skills in English (written and spoken) Basic understanding of molecular and cellular biology concepts Willingness to learn advanced experimental and computational approaches
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of the BMFTR-funded collaborative research project SOCool, a completely novel approach to the fabrication of metal-supported solid oxide electrolysis cells (MS-SOECs) will be developed. The proposed cell concept
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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of your own research projects, you will establish new collaborations with companies. In addition, you will mentor students in the context of research projects and courses and create a friendly learning
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digital technologies. At HPI, you will benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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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 PhD candidates to join our
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biological models. This position involves the optimization, and operation of an innovative multimodal microscope, as well as close collaboration with experts in the biological sciences for its application
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research excellence and the ability to pursue a doctoral degree at TUM Documented experience in machine learning and/or natural language processing with deep knowledge of LLMs, RAG and agent-based AI systems
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technology at your fingertips – Gain access to high-end microscopes and other advanced equipment through shared central facilities A vibrant, international community of scientists and collaborators Additional
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8 semesters Beginning Winter semester Application periods A call for new applications is announced in autumn every year. Please visit the IMPRS-BI website to learn more about recruiting faculty