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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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probe microscopy. Our research focuses on using single electron spins in diamond as sensors to explore magnetic phenomena at the nanoscale. This doctoral project will center around the development and
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“Spatiotemporal light shaping and photon counting cameras for microscopy” carried out within the FIRST TEAM FENG programme of the Foundation for Polish Science The aim of the project is to develop new imaging
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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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imaging technologies, such as cryo-electron tomography (cryo-ET) and expansion microscopy, have been pivotal in advancing our understanding of the structure and function of motile cilia. In contrast