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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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), 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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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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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
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, heritage science, or a closely related scientific discipline. • Good understanding of relevant analytical methods and instrumentation (e.g., spectroscopy, microscopy, and/or imaging techniques
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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
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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Traitement du Signal et des Images, 2023. Douté, S., Forbes, F., Borkowski, S., Meyer, L., Heidmann, S., 2024. Massive analysis of multi-angular images by inverse regression of reflectance models