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French National Institute for Health Research (INSERM) | Paris 15, le de France | France | 2 months ago
precision imaging at the nanometre scale and with sub-second resolution, compatible with complex systems. This approach will be applied in vitro to study the spatiotemporal organization of fundamental
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see our Cookie Policy and the list of Google Ad-Tech Vendors . You may choose not to allow some types of...
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processing, quantitative analysis, and alignment of functional imaging data with post hoc molecular information. A major part of the role is method development: identifying technical limitations
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. • Assist with audits, system upgrades, data migration, and other radiology information-management projects. ANSWER BUSY PHONES, EMAILS, FAX MACHINE , PROCESS OUTSIDE IMAGES AT LEAST 100 PER DAY Salary Range
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research. Working with researchers, students, and staff, you will help deliver high-quality imaging services and support the day-to-day operation of the facility. In this role, you will: Provide technical
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imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models for medical images.
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transcriptomics; and collect associated experimental, imaging, and molecular data. They will register, integrate, and analyze multimodal datasets to investigate biological and disease-related processes and will
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, or Biophysics, with strong quantitative and analytical skills and proficiency in MATLAB and/or Python. Experience with preclinical MRI/fMRI/MRS, rodent models, image processing, functional connectivity, and
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, protocols, and patient positioning to meet the unique needs of various species, anatomy, clinical conditions, and patient sizes while supporting efficient patient care throughout the imaging process. Every