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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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Resilience Institute. We seek a talented and highly organized scientist to support and advance multiple collaborative projects that integrate high-throughput phenotyping, advanced imaging, quantitative
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information on its udder health and metabolic and nutritional status. In this project, an optical sensor prototype will be designed and built based on miniature spectrometers with the aim to measure milk
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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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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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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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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of biologically and disease-relevant questions. We apply these advanced imaging technologies to clinically meaningful model systems in order to evaluate their robustness, scalability, and added value
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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