Post Summary
Brain development in infants and its disruption by preterm birth or perinatal injury, can be measured with functional MRI (fMRI). Unfortunately, infants move in the scanner and half the images are discarded, precluding clinical application. In recent years, deep neural networks (DNNs) have led to breakthroughs in artificial intelligence and are finding growing application in biomedical imaging. DNNs have considerable potential to correct head motion in fMRI, as they can learn complex mappings, and exploit knowledge of brain structure. The PhD Candidates will develop DNNs to motion correct fMRI data.
NOTE: Applicants must have been resident in an EU member state for 3 out of the last 5 years to be eligible for EU fees
Application Procedure
Applicants should submit the following documentation to
[email protected]with the subject line “DNN for MRI PHD 2024”:
- a cover letter addressing why this project interests you and what you will bring to it
- a full curriculum vitae
- the names and email addresses of two referees
- your undergraduate grades/transcripts (unofficial fine at this stage)
- a sample of academic writing (such as a papers, preprints or university assignment)
- a link to any relevant code repositories demonstrating your aptitude for this project (if applicable)
- links to any other supporting media, preprints, articles in the media, or blogs
Excellent candidates from outside of the EU will also be considered.
Selection will begin in April 2024.
If you have any query please contact:
At Trinity, we are committed to equality, diversity, and inclusion. Trinity welcomes applications from all individuals, including those applicants with disabilities, those who may have had non-traditional career paths, those who have taken time out for reasons including family or caring responsibilities. We also welcome international applicants including those whom have been displaced due to war.
Trinity College Dublin is Ireland’s premier University. We are an EU Sustainable Gender Equality Champion and we hold an Athena Swan Silver award, recognising our ongoing work to advance gender equality both within Trinity and in the Higher Education sector. Trinity is committed to supporting work-life balance and to creating a family-friendly working environment.
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