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) in collaboration with experimental neuroscientists. A central task and responsibility of the candidate will be to lead and execute the analysis of electrophysiological data (signal quality, biomarker
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will be: Work on the already existing advanced STEM and FIB equipment for the analysis of energy nanomaterials for catalysis and energy applications. Design in-situ experiments with the available gas and
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structuring. · Development and execution of training of the research community in data architecture and data analysis automation. · Participate in the Open Science and Sustainability
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fields. Main tasks and responsibilities: · Operate and optimize advanced STEM and FIB instrumentation for the nanoscale analysis of catalytic and energy-related nanomaterials, supporting the development
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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. Requirements: Education: B.Sc. and M.Sc. in Physics, Materials Science, Chemistry, Computer Science, or related disciplines. - DFT-based methods and molecular dynamics. - Machine learning, and data analysis
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this towards photonic and optoelectronic applications. In this project, you will work on optothermal effects in 2D materials. Main Tasks and responsibilities: To perform optothermal measurements, analysis and
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responsibilities: Operate and optimize advanced STEM and FIB instrumentation for the nanoscale analysis of catalytic and energy-related nanomaterials, supporting the development of high-performance materials