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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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will apply cutting-edge imaging technologies such as volumetric EM, cryo-ET and state-of-the-art image segmentation to study changes in the cellular architecture of diverse fungal pathogens during
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
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local activation), multi-timescale adaptation (local memory), and stimulus-specific adaptation (multi-task processing). While the co-optimization of dendrite-inspired functional circuits with emerging
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 9 days ago
proteomics Perform integrative analyses combining multi-omics data with brain imaging measures Contribute to omics data processing, statistical analyses, and the preparation of manuscripts for publication in
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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in order to improve imaging techniques at large radio astronomy facilities. The project will be carried out in the Cosmology and Astroparticle Physics working group (Prof. Schwarz) at the Faculty
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cytometry is an advantage Confident handling of Microsoft Office (Excel, PowerPoint, etc.) and image processing software (e.g. ImageJ, Imaris) Willingness to perform animal experiments; experience and FELASA