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cilia and nuclear signaling in the brain. Position Summary: We seek a candidate with strong expertise in microscopy and computational image analysis to: Support and enhance ongoing imaging projects in
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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workshops. What You’ll Do: Design, plan and perform method optimization experiments independently Perform data analysis and interpretation, in particular image processing and analysis Present research reports
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with skills in computation and image processing is highly desired. Excellent communication skills and an ability to work across platforms in a collaborative style are desired. St. Jude is an Equal
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of overall team plans and budgets. Train and mentor teams around systems and processes within diagnostic & imaging area. Perform other duties as assigned to meet the goals and objectives of the department and
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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Qualifications: Ph.D. and/or M.D. in neuroscience, immunology, vascular biology, or a related field Strong communication and organizational skills Preferred: Experience with small animal surgery and two-photon
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Radiology, Physics, and Radiologic Sciences. We are dedicated to delivering exceptional imaging across multiple modalities to guide diagnosis, interventions, and treatment response evaluation, while also
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microscopy images or recorded animal behavior to apply. Such information will aid analysis of experimental data or help establish automated image processing/machine learning pipelines. Technicians will