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Field
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student Desired qualifications: Experience in analysis of lipids (e.g., TLC) Experience in Microscopy Oral and written skills in English language Scientific conference participation Publication record PhD
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will develop new mathematical tools to analyse brain imaging data using persistent homology, a method from topological data analysis (TDA) that captures the shape and connectivity of complex data across
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analysis in the area of magnetic resonance imaging (MRI) and positron emission tomography (PET); Minimum Level 1 certification in Cardiac Computed Tomography (CT) and/or Cardiac Magnetic Resonance Imaging
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these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High resolution analysis, monitoring
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mononuclear cell (PBMC) analysis and RNAseq, as well as whole slide images (WSI) and immunohistochemistry images on an OMERO online repository. With funding from Cancer Research Horizons, the data is being
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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, or research assistant job) - Solid experience in machine learning and AI (essential) - Experience with imaging data analysis - A collaborative approach to doing science and willingness to help other lab members
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and brain. Perform molecular, cellular and histological experiments, including AAV injections, tissue processing, immunostaining and stereological confocal image analysis. Develop and apply image and
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so through its particular biochemistry and morphology. Often, the internal landscape of cells is difficult to decipher and assess to high spatial resolution and for that reason our analysis is limited
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis