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submit your application. Submitting a diploma and a reference check are part of the application process. Application for PhD positions Applications should include: Cover letter with motivation (maximum 1
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep detailed records of all
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(https://udall.umn.edu). The position will involve: (1) the collection, processing and analysis of data acquired from quantitative motor tasks (gait, gait initiation, bradykinesia, rigidity, etc.) using
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; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
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machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience
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, immunohistochemistry, and fluorescence imaging. Coordinate and execute behavioral studies to assess cognitive and motor deficits, including Morris Water Maze (MWM), Novel Object Recognition (NOR), and Fear Conditioning
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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big-picture questions. Preferred Qualifications: Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar). Familiarity with natural language processing (NLP