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Field
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Position Summary This post-doctoral job posting is for an R01 funded position to conduct parcellation of non-neocortical brain structures into well-defined brain areas using multiple MRI modalities
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imaging (MRI). The position is within the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in
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brain. Our group has access to a large (~400 patients) dataset of multimodal neuroimaging and clinical data from ALS patients. By integrating multimodal patient data (MRI, DTI, fMRI, EEG/MEG) into
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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
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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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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Study Development: Conducting literature review, designing studies
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appointment is 1 year with an expected renewal for a 2nd year based on mutual agreement. Appointment Start Date: Oct 1, 2025 Group or Departmental Website: https://profiles.stanford.edu/andreas-loening (link is
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in the operation of the ultra-low field MRI system by contributing to validation studies on phantoms and in clinical settings. Where to apply Website https://institutminestelecom.recruitee.com/o/post
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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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