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consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process monitoring, non-destructive structural testing and satellite data
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for Sensing, Imaging and Modelling, FAME, is a multidisciplinary consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process
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models to profile cell and tissue samples imaged using 2/3D microscopy. The group is specifically focused on applying self-supervised representation learning and generative AI in computer vision to improve
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protein crystallization core facility operation and related projects. The successful candidate will work on protein production and molecular interaction studies of complement proteins protective of neuronal
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protein crystallization core facility operation and related projects. The successful candidate will work on protein production and molecular interaction studies of complement proteins protective of neuronal
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dynamics during inflammation Comparing the effect of inflammation on gut permeability in both zebrafish and mice models, using methods ranging from in vivo imaging across the whole organism, to cutting-edge
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working on microscopy images of black mass from recycled Li-ion batteries, where domains of constituent compounds are typically observed and analysed by experts. Our objective is to implement computer
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create scalable and multimodal machine learning techniques utilizing genome, transcriptome, epigenome and imaging data to build clinically useful computational tools. The Precision Cancer Epigenomics group
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, or digital image correlation (DIC) will be considered as advantage. We are using DIC in our research. Good skills in English, writing and oral, are needed. You may apply even if you are still in the process of
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particles. We are now opening a doctoral researcher/project researcher position for 3 years, funded by a Research Council of Finland project ‘SolShocks’. This position will focus on imaging and spectroscopy