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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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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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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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expect a successful candidate to have a PhD degree from a relevant field with skills and experience in computational genomics and machine learning. Familiarity with the above-mentioned data types is an
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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