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programming (e.g., Python, MATLAB, or similar). Experience with image analysis and/or AI methods is a plus. Strong analytical and problem-solving skills. Ability to work independently as well as in a
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during reaction. Link surface chemistry to catalytic performance - use advanced surface-sensitive methods, including near-ambient pressure XPS, DRIFTS, and SSITKA-DRIFTS-MS, to identify surface
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be obtained using conventional analytical methods. As a PhD candidate, you will: develop innovative multimodal imaging workflows for studying Antibody-Drug Conjugates; perform experiments using
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rheology is considered an advantage; interpreting experimental data and translating findings into scientific insights and practical applications; developing new analytical methods and experimental strategies
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skills demonstrated by a Master thesis professional proficiency in English solid knowledge of qualitative and/or ethnographic research methods a strong cooperative attitude and willingness to engage in
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, and Tunnel Engineering Consultants. TUNED aims to deliver validated methods for tunnel design for disposal facilities in clay formations, reducing the technical and economic uncertainties that currently
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across copper–silicon interfaces. You will work with characterization methods including SEM, EBSD, XRD, thermal conductivity analysis, and thermo-mechanical testing. The project also includes
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companies in the field of flow sensing. It is expected that you will: Investigate and conduct research on ultrasound sensors and viscosity of flows. Develop and invent novel measurement strategies and methods
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and viscosity of flows. Develop and invent novel measurement strategies and methods. Set up a quantitative, experimentally validated model of the ultrasonic flow sensors Design an experimental sensing
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional