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preparation, electrolyte formulation, battery cell assembly, and electrochemical performance analysis. Significant efforts will be dedicated to advanced operando physicochemical characterization of electrode
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international and multidisciplinary research group. Our research focus lies on the quantitative and qualitative metabolomics analysis of human samples for biomarker discovery of pancreatic cancer and other
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original research papers in leading peer-reviewed journals. Supervise and mentor MSc and PhD students, co-supervising theses and guiding laboratory work and data analysis. Requirements: Strong knowledge and
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collaboration with other departments. We research next-generation batteries, more efficient solar cells, more environmentally friendly hydrogen, and materials that can replace critical elements. In
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new image analysis and machine learning methods
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electricity generation (WEG) and moisture-absorption-enabled electricity generation (MEG) devices. Duties Basic and applied research focused on POMs, including metal-organic frameworks (MOFs) and porous organic
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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analysis of large-scale timeseries data, applied to advance the fundamental understanding of battery aging and enable new diagnostic capabilities for real-time battery monitoring. Duties A postdoctoral
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candidate must have excellent written and oral English skills and experience in synthesis and analysis of high-entropy alloys. Desirable qualifications Experience in X-ray diffraction methods, battery
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principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics