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Field
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features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and characterizing defects such as dislocations Applying generative models (e.g., GANs
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scientists on, e.g.: Developing self-supervised learning frameworks to extract features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and
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knowledge of semiconductor physics, lasers, and optics. Ideally, experience in the field of transmission electron microscopy. High level of self-motivation, as well as enjoyment and skill in practical work
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“planar scanning probe microscopy”, a flexible approach to scanning probe microscopy developed in our group (Ernst … Reinhard, ACS Photonics 6, 2 (2019)) to turn nanogap cavities into a scanning probe
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(purification of ribosomes, ribosome complex assembly, etc.) Theoretical knowledge of single parcticle cryo-electron microscopy Good English language – spoken and written Nice-to-have: Work experience in cryo
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electron microscopy using a transmission electron microscopy (TEM) and a scanning electron microscopy (SEM). Experience developing new or existing electron microscopy instrumentation or methods. Significant
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. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
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. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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experimental research in nanoparticle catalysis using advanced operando electron microscopy This collaborative PhD project between Technical University of Munich (TUM) ( the group of Prof. Barbara A.J. Lechner