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- Wydział Matematyki Fizyki i Informatyki UG
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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: Participation in the project ‘Imaging based on gas electron multipliers in conditions of intense radiation from tokamak plasma’ funded by the National Science Centre (OPUS). The project concerns the development
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process, modification of the microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image analysis, spatial
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student will work on data processing from the digital photosensors and image reconstruction for the PET scanner. The student will be involved in the hardware work on the photosensors as well. The same
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Requirements: The competitive selection process
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decide the fate of their RNAs - whether to translate, store, or degrade them. Using biochemical reconstitution, fluorescent labeling, and single-molecule imaging, you will explore how molecular machines
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achievements in the area of biomedical engineering, in particular: designing computer-aided diagnosis systems; analyzing images, signals, and multimodal data, particularly using artificial intelligence methods
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experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
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; digital pathology; image post-processing and automated quantitative microscopy image analysis; sample preparation for high-throughput drug and siRNA screening; RNA isolation and sequencing; statistical
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recognized science. Expert training in plant molecular and cell biology techniques including advanced live imaging. Professional development within Intercollegiate Biotechnology Doctoral School of UG & MUG
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» Electronic engineeringEducation LevelPhD or equivalent Skills/Qualifications The Candidate should demonstrate knowledge and practical experience in visual systems, image processing and analysis, as