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characterizing defects such as dislocations Applying generative models (e.g., GANs, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities
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, single-molecule techniques, and optical imaging is welcomed. We foster diversity and female candidates are particularly invited to apply, since the gender balance recently declined with the departure
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, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities Collaborating closely with experimental partners to validate methods and
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population-based studies. Using data from 11 million vessel segments from over 200,000 CFPs, we have shown that retinal vasculometry can predict cardiovascular disease as well as established risk scores and
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, and optical imaging is welcomed. We foster diversity and female candidates are particularly invited to apply, since the gender balance recently declined with the departure of quite some female postdocs
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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
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Your job Are you looking for a PhD position and do you like to participate in an exciting interdisciplinary research project to discover how different ingredients affect food digestion and appetite
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We are seeking to recruit a highly motivated Research Assistant to work with a research group based in the Centre of Membrane Proteins and Receptors (COMPARE) within the Division of Pharmacology
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information. Jenny Russinova lab at PSB focuses on research on brassinosteroid hormones (https://www.russinovalab.be). Job description Phytohormones play a central role in regulating cell division and