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Field
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Qualifications - External Minimum Qualifications Education: Ph.D. in psychology, neuroscience, engineering, or related field is required. Experience: Background in MRS or MRI Knowledge and Skills • Programming
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analyses of neural recordings. Integrate iEEG data with neuroimaging (MRI, CT, fMRI), behavioral, and clinical datasets. Develop and implement computational pipelines using MATLAB, Python, or similar
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microsurgeries and longitudinal studies using small animal models of myocardial infarction or heart failure to evaluate therapeutic outcomes. Data Acquisition: Utilize advanced imaging (e.g., echocardiography, MRI
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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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, quantitative, and multiparametric MRI protocols, evaluating their reproducibility, and facilitating their clinical translation across various body regions and disease types. The work will primarily utilize
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a clinical examination, they will complete several questionnaires regarding key parameters in quality of life, they will undergo psychoneurological (cognitive) testing, they will be subject to MRI
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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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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology
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addition, the successful applicant will interact with faculty in the Department of Radiation Oncology, which has a dedicated Siemens 3T MRI scanner used for treatment planning as well as an Elekta MRI-Linac
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Center for Animal MRI (CAMRI, http://camri.org/) at the University