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materials obtained by photochemically induced self-assembly using spectroscopy techniques and advanced fluorescence microscopy techniques (details below). The PhD student will be enrolled for 3 years
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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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Your job For those who see microscopy as more than just looking — it’s about knowing, discovering, and contributing to food safety. Are you an analytically skilled biologist with a passion for
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permanent researchers and lecturers, is a pioneer in thermal AFM microscopy at European and world level. The PhD work will be carried out in the framework of the ANR ANTICHI project, which brings together
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on JavaScript in your browser and try again. UiO/Anders Lien 5th August 2025 Languages English English English Position as researcher in Advanced Optical Microscopy Apply for this job See advertisement About the
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Position to be based at La Trobe Melbourne Campus. An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend. The position: This prestigious La Trobe University scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an...
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values of Integrity, Excellence, Respect and Creativity. The successful candidate will engage with both internal and external collaborators, other government departments and industry for microscopy
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fluorescence microscopy to follow in real-time how nanomedicines engage with living cell membranes (and simpler model systems) and quantify these interactions. Similar studies can be performed for understanding
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can