33 high-performance-quantum-computing-"https:"-"https:"-"https:" Postdoctoral positions at Technical University of Munich
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that seamlessly integrates visible-light and mid‑infrared microscopy with cutting-edge quantum techniques. This includes the full workflow from conceptual design and instrument development to performance
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at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable: - Quantum computing with qudits, quantum error
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning
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the possibility of extension, depending on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Computer Science or Mathematics. • For Postdoctoral Researchers: Ph.D. in
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the development of novel optical technologies addressing significant biological and medical challenges. The Mission: The successful candidate will play a key role in an ambitious research program focused
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(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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personnel for technical support, ensuring proficient operation. BioSysteM at TUM invites applications for a Postdoctoral Researcher (m/f/d) to lead and further develop the Bioanalytics Facility within
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., for quantum computing, microfluidics, or conventional circuits and systems. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world
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, quantitative readouts, define performance metrics, and validate results experimentally, helping convert laboratory scale prototypes into a compact, portable system. Your Profile: The successful applicant must