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, generating hypotheses, designing experiments, controlling laboratory workflows and analysing results within a continuously improving research cycle. By integrating advanced machine learning with robotic
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). The selected candidate is expected to work on: • physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework • high-level exploration and modeling
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Lead and project team, the successful candidate will provide expertise in front-end development and user experience (UX) design, contributing to the creation of an intuitive, accessible, and engaging
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designed to achieve the following training objectives for our doctoral researchers: Equip them with core scientific skills and specialised knowledge in designing experiments for demonstrating space
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data analysis, data visualization, data modeling, database design, and/or data curation Experience using Microsoft Power BI and Excel to analyze data and develop reports, dashboards, or other data
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the design stage to facilitate dismantling and enhance safety. It utilises a digital twin to automate dismantling and optimise the design of batteries, combined with a deep-discharge function. The project is
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physics is important. Knowledge of experimental control systems and the design of experiments is also essential. You will be expected to contribute to scientific publications in international peer-reviewed
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13.07.2026, Academic staff The Professorship of Structural Design at the TUM School of Engineering and Design invites applications for a full-time Postdoctoral Researcher position in Computational
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the anthropologies of: the future; sustainability; science, technology or innovation; infrastructure; knowledge or expertise. Experience in working in interdisciplinary contexts. Skills Ability to work independently
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mixed-signal circuit design. Use of emerging technologies for in memory computing. - Academic records at bachelor's level. - Previous experience in the design of electronic circuits. - Level of compliance