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Field
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Doctor degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field Experience in working with an MRI scanner Experience in developing state-of-the-art
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multidisciplinary research environment. The centre is equipped with four MRI scanners (7T, 3x 3T), a 275-channel MEG system, an EEG-TMS/TUS laboratory, several (MR-compatible) EEG systems and high-performance
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of Medical University of Lublin, to carry out research tasks for the National Science Centre OPUS 28 project entitled: “Combining Advanced Metabolic MRI at 7 T with Genomics for Improved Characterization
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would aim to: Organise and manage multicentre datasets of MRI brain imaging from patients with epilepsy and other neurological disorders Develop robust AI tools to segment and characterise neuroimaging
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resources are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI
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quality of publications. Prior experience collecting in-person data from human participants. Basic proficiency in computer programming. Experience with functional MRI data collection and processing
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—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range
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of Diagnostic Radiology & Nuclear Medicine at University of Maryland School of Medicine has an opening for MRI Scientists with a background in pulse sequence development and/or reconstruction techniques. The MRI
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and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
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the impacts of perinatal exposures to substances and childhood environments on developmental trajectories. Data from this comprehensive study will include infant MRI, EEG, neurodevelopmental testing