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flux and the newly developed pixels detectors are opening new opportunities to investigate dynamics extending from sub-μs to thousands of second time scales. Nanoscale (~10 nm) imaging experiments
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14 Dec 2025 Job Information Organisation/Company observatoire de paris Department LIRA Research Field Technology » Instrumentation technology Researcher Profile Other Profession Positions PhD
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translatable novel cell-targeted nanotechnologies for target-specific drug/gene delivery and imaging applications to help diagnose and treat unmet medical problems in the areas of brain and eye diseases, and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 27 days ago
interacting fibers producing visually appealing images. However, these simulators remain limited to fibers with small natural curvature, making them unable to retrieve the rich phenomenology observed for highly
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fitness in different environments. Please check out the lab website for more descriptions of our research: https://sifangwei.github.io/ 4. Position Description and Qualifications: We are mainly looking
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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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departments and schools at Jönköping University. QUALIFICATIONS You should hold a PhD in a relevant area and possess pedagogical merits, as outlined in the Appointments Procedure at Jönköping University
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team. Together you will ensure optimal operation of the beamline and its two end-stations ‘Diffraction’ and ‘Imaging’ for users and your own experiments. You will take an active role in running
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning