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minimal supervision, to set up and perform routine and established lab procedures in support of lab goals. To collect, enter and summarize data. To monitor results and report unusual outcomes. Key Duties
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. The post holder will work closely with experimental scientists and clinical partners and will have access to high-performance computing facilities. About You The successful candidate should have a PhD (or be
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the existing expertise in Liquid Argon (LAr) neutrino detectors. Within this context, the postdoc position will focus on quantifying key technical requirements to ensure high performance in implementing
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). CSED performs transdisciplinary computational science and analytics at scale to produce advancements in physical sciences, engineering, and biomedicine and health. The Quantum Computational Science
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Qualifications: Experience with multimodal AI, large language models (LLMs), or retrieval-augmented systems Familiarity with high-performance computing (HPC) and distributed training environments Experience with
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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immediately) Supervisor(s): Prof. Tilman Grune / Prof. Christian Stoppe Enrolment in a Doctoral Program: German Institute of Human Nutrition / University of Potsdam Project description: This project aims
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to build your research profile within a collaborative, high-performing team tackling real-world health challenges. Key responsibilities will include: Research: Develop a coherent research program in
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parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely