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contribute to the activities including TES unit development, laboratory testing and techno-economic analysis to identify optimal integration opportunities. Cooperation with industrial and academic national and
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model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation Machine Learning Integration Develop and implement machine learning
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. The research group has direct access to multiple test rooms and virtual environments, all fully equipped for measuring behavior and psychophysiology. We also have access to state-of-the-art 3-Tesla MRI scanners
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cells and perform electrochemical characterization, including EIS, DRT, and charge/discharge testing Conduct post-mortem analysis using SEM and XPS Prepare synchrotron beamtime proposals and carry out
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test planning, instrumentation (e.g., strain gauges, LVDTs, DIC), execution of large-scale tests, and data analysis. Solid understanding of structural behavior, failure mechanisms, and durability issues
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ask you to write your application in English as the application may be reviewed by English-speaking staff. In the selection process, it will likely be relevant with interviews, work tests and reference
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examination and expected examination date Name and contact information to 2-3 references Apply via our recruitment system Varbi. The deadline for applying is August 22, 2025. About us The Department of
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of real systems, so-called digital twins, are at the heart of the project. The project works with real examples from companies to develop and test innovative solutions. As a postdoc, you will be a senior
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. Requirements PhD degree in biochemistry or structural biology, or an exam which is judged comparable to a Swedish Ph.D in biochemistry or structural biology. The degree needs to be obtained by the time of
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. Familiarity with software development workflows, tools, and practices (e.g., IDEs, CI/CD, testing, documentation). Experience in empirical software engineering, AI prototyping, or human-AI interaction studies