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Field
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methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis
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research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other duties as
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Posting Details Posting Details Job Title Radiology MRI Tech/UKHC Requisition Number RE54650 Working Title MRI Technologist -Chandler-Up to $20,000 Sign on Bonus, Weekend Plan Department Name H3184
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schizophrenia, contribute to cognitive and visual impairments, and may normalize in response to cognitive training intervention. Primary data collection assessments include MRI scanning and EEG recording. Other
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Posting Details Posting Details Job Title Radiology MRI Tech/UKHC Requisition Number RE54650 Working Title MRI Technologist -Chandler-Up to $20,000 Sign on Bonus, Weekend Plan Department Name H3184
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plus. Experience operating magnetic resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | about 20 hours ago
of memory and cognitive impairment in early-stage neurodegenerative disease, particularly through naturalistic, translational research approaches Experience with (f)MRI data analysis; prior
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, UK. You will be part of a team working towards novel neuroimaging approaches that sensitise brain Magnetic Resonance Imaging (MRI) to cell types. You will integrate information across cutting-edge
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Posting Details Posting Details Job Title Radiology MRI Tech/UKHC Requisition Number RE54851 Working Title MRI Technologist - Chandler-Up to $20,000 Sign on Bonus Department Name H3184: MRI Work
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 8 hours ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established