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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
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Imaging Leader - Faculty Virginia Tech Virginia Tech (VT) seeks to recruit a senior or mid-career level biomedical imaging technology innovator to join the faculty at the Fralin Biomedical Research
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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control of this process. This thesis is part of the DROPTECH project, which aims to design an innovative digital test bench, combining high-speed imaging, spectroscopy, and digital modeling, to control
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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practice. About the Faculty https://www.kcl.ac.uk/lsm About the Department of Biomedical Engineering https://www.kcl.ac.uk/bmeis About The London Medical Imaging & Artificial Intelligence Centre for Value
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Biological/Biomedical Sciences Computer/Information Sciences Medical - Research Internal Number: A-179992-4 General Description Laboratories in the Department of Biophysics and Biophysical Chemistry at Johns
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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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Oncology and Hematology of the University Hospital Zurich. The successful candidate possesses solid knowledge of computer-based methods for image analysis and the analysis of multi-omics data in the context