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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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-atmosphere version of the general circulation model ICON, i.e. UA-ICON, a state-of-the-art high-resolution model of the neutral atmosphere with a model top at 250 km height. UA-ICON includes a deep- atmosphere
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cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration between WIAS (Research Group “Numerical Mathematics and Scientific
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sustainability of IoT ecosystems. As a Postdoctoral Researcher, you will: Develop and Prototype advanced thermoelectric modules utilizing n-type Mg3 (Bi,Sb)2 and p-type MgAgSb for efficient energy harvesting
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The research group Assimilate Allocation and NMR applies modern techniques such as Magnetic Resonance Imaging (MRI), metabolomics and transcriptomics to study plant growth and metabolic performance
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, images, videos) and maintenance of social media channels (Bluesky, Instagram, LinkedIn) to increase reach and interaction Event Management and Networking Support in the conceptualization, organization, and
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are being digitally catalogued. This indexing includes both the recording of metadata and image-based digitisation. A pilot project for a newly developed mass digitization system is being deployed in
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-deep knowledge in the applications of Hyperspectral Imaging, Biospeckle Imaging, Laser-Light Backscattering Imaging, LEDs, and Bandpass Filter-Based Imaging techniques Basic knowledge of substrate
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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, histology, and image analysis to phenotype root anatomy Plant and root physiological measurements QTL mapping and mutant characterization to identify the genetic regulation of anatomy Plant cultivation