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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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running PhD project. Partly existing database will be used and extended to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research
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usage Skills: Hands-on experimental mindset, strong understanding of laser and optical physics, strong problem-solving and troubleshooting skills, experience with data analysis and experimental
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-forming and integration into devices. Your tasks R&D of acoustic system (acoustics/multi-physics simulation, experimental planning, setup, measurements, analysis) Conceptualization and realization of
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assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned for 3 years
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and liquid chromatographers, thermogravimetric analysis, elemental analysis (ICP-OES), and a broad suite of tools for the physicochemical characterization of components. Access to advanced electron
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offer an international, highly stimulating research environment with excellent infrastructure for fiber processing, polymer analysis, and electrochemical testing. You will be working at Empa in St
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across disciplines. Your tasks Fabrication, optimization, and characterization of NIR-emitting OLED devices Close collaboration and active scientific exchange with project partners Analysis, interpretation
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will include: Assemble and validate modular electrocatalytic reactors and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect
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processing, electrochemical and photoelectrochemical characterization, optical spectroscopy, and structural analysis. A broad range of instrumentation is available, including UV–Vis, Raman and impedance