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Field
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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travel. Please note: This position is grant funded; future employment may be contingent upon future funding. Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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microscopy, and technical writing. Hands-on experience with imaging flow cytometry, brain tissue homogenization, homogenate analysis protocols, and cell separation and lysing methods are a plus. Job Duties
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will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your
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organization, and how these properties are altered by pathological processes across multiple biological scales. The position is available in the team of Dr. Andra C. Dumitru in the nBIO group at LIBST, UCLouvain
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instrumentation, as well as in the field of Biomedical Imaging applications. The laboratory has developed many interactions with research teams specialized in the fields of oncology, cardiology, tissue engineering