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Field
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for cell line characterisation, including imaging, genome sequencing, proteomic analysis, and co-ordination of bioinformatics. In addition, you will be required to participate in supervising trainees in
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., photoluminescence imaging, carrier lifetime measurements), physical and chemical separation, (e.g., density, electrostatic, magnetic, froth flotation separation) using battery recycling infrastructure available in
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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offers interdisciplinary approaches to biomedical research with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications
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. We apply these advanced imaging technologies to clinically meaningful model systems in order to evaluate their robustness, scalability, and added value for translational research. By combining super
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molecular biology, genome editing, and imaging techniques to study cardiovascular phenotypes. -Collaborate closely with the group leader and other team members, contributing to project planning, data
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-ERIC project “LEMIS” (Analysis and imaging of Light Elements in Materials of Importance to energy Storage using ion beams). The position will remain open until filled. The position is available
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at cryogenic temperatures. Perform spectroscopy and optical imaging of quantum emitters. Perform advanced coherent excitation of individual emitters with picosecond laser pulses. Perform quantum-optical
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, imaging and diagnostic). However, there is currently no generic, metrology-grounded AI/ML framework that fuses these heterogeneous data with physics-based models to create trustworthy, asset-specific