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Number: R145950 Job Overview Due to continued facility growth and an increased demand for advanced microscopy services, the Campus Microscopy and Imaging Facility (CMIF) is seeking an experienced
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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A Postdoctoral Research Scientist position is available for 18 months funded by an ARPA-H LIGHT (lymphatic imaging, genomics, and phenotyping technologies) grant, a multicenter study which overall
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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
spiral imaging, and new approaches for processing and multivariate statistical analysis of brain imaging. RADIOLOGY AND BIOMEDICAL IMAGING The Department of Radiology and Biomedical Imaging is one
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The scientific activity will deal with SAR image processing and analysis
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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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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms