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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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an applicable doctoral degree, the capability to independently conduct research and to possess teaching and mentoring skills. The suitable candidate has the following: PhD in biology, medical science, imaging