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“Decoding faba bean yield stability: From in-field image data to mechanistic models (DIGIFABA)”, which is financed by Novo Nordisk Fonden. Start date is (expected to be) 1 October 2025, or as soon as possible
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dialect speaker’, experiences of encountering other language and cultural codes and norms in relation to migration from rural to urban areas, or shifting attitudes toward dialect speakers over time. It is
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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, confocal, super-resolution, and electron: transmission electron microscopy) complementary expertise in image analysis Hands-on experience with epithelial barrier assessment assays (transepithelial
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can have a background from experimental and theoretical quantum opto- or electromechanics, nanomechanics, NV magnetometry and imaging, and low-temperature techniques. We are looking for individuals
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and