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cellular biophysics -Backround in microfluidics -Background in image processing Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5588-CHAMIS-012/Default.aspx Work Location(s) Number
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High Performance Computing. Expertise in image and spatiotemporal data processing. A strong publication record in peer-reviewed journals and conferences. Excellent written and oral communication skills
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image processing, registration and analysis and a long-term interest to work in the health care sector. If you are interested in this position please contact: Dr. Allison Payne: allison.payne@hsc.utah.edu
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expertise in intravital microscopy in the Kiefer Lab at the European Institute for Molecular Imaging. Uncontrolled inflammatory processes are at the basis of many widespread diseases including myocardial
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the feasibility of a full ultrasound image analysis pipeline for the extraction of volumetric assessment of the fetal brain using point-of-care ultrasound devices. The post holder will play a key role in acquiring
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by establishing the structure-property relationship
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opportunity to participate in clinical research within an established multidisciplinary team with a track record in undertaking trial-related medical imaging research which has led to several changes in
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self