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Field
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods such as scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), X-ray diffraction (XRD), and
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standard or translational humans to rats memory tasks (Sauvage et al, Nature Neuroscience, 2008) combined with lesions, optogenetics, high-resolution molecular imaging based on the detection of IEG and in
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to coherent phase contrast imaging, particularly to ptychography at synchrotrons. Ptychography is a super resolution phase retrieval imaging technique capable of resolution down to single digit nanometres
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months ago
Job Offer from October 20, 2025 The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast
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board! RESPONSIBILITIES: Opportunity to contribute to ongoing research on mechanical signaling in healthy and diseased heart muscle cells Use of state-of-the-art molecular, biophysical, and imaging
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strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms. In order to apply for this position, the candidate should possess in-depth
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 2 months ago
9 Oct 2025 Job Information Organisation/Company Max Planck Institute for the Structure and Dynamics of Matter Department International Max Planck Research School for Ultrafast Imaging and Structural
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for this purpose, in particular electron microscopy, fluorescence reflectance imaging, scanning laser ophthalmoscopy, fluorescence angiography, and electroretinography. REQUIREMENTS: Completed scientific university
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. The project involves close collaboration with experimentalists who provide the relevant data. Machine learning methods will be applied to link experimental (imaging) data to a mechanistic model. The results