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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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, medical imaging, real-time sensing, and intelligent control into a unified system, this technology establishes a new paradigm for precision neurotherapeutics and opens new opportunities for treating
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25 Aug 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Application Deadline 27 Sep 2026
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highly motivated and talented Postdoctoral Researcherto work full-time in the field of medical physics and engineering, particularly on low field magnetic resonance imaging (MRI). The position is within
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-Saclay region and is easily accessible by public transportation from Paris. More information is available at https://www.ip-paris.fr . The candidate will join the doctoral school of the Institut
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expert units into one coherent preclinical evaluation platform. Access to CCP’s broad experimental ecosystem, including genetically engineered models, disease models, phenotyping, imaging, infectious
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Qualifications • PhD in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or a related engineering field. • Experience in robotics design, mechatronics, electromechanical systems
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engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow measurement techniques and PIV. Familiarity with optics, lasers, image
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equipment. The lab is in the Departments of Psychology and Medical Imaging. The research will explore questions related to expertise (e.g., comparing students to radiologists when searching for signs
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sciences (i.e. physics, mathematics, computer science, engineering, computational biology) with motivation for crossing disciplines to solve complex biological processes. Experience in Plant Biology and/or