Education in partnership with
Bracco Fellowships – Research
** Due to the ongoing pandemic related to the spread of the coronavirus, this programme will not be on offer in 2021. **
This fellowship should help the applicant to develop or set up a programme in his/her institution, therefore the applicant should learn to acquire data, to review images or procedures, to manage data, to search for biases, to collaborate with statisticians/clinicians/clinical scientists, to develop skills in tools and post-processing, to collaborate or write articles, to prepare oral/written presentations.
The fellowships must take place in the first half of each year (January to June). For the year 2020, 6 research fellowships will be available.
Eligibility
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These fellowships are aimed at young radiologists, residents in the last years of training or recently board-certified radiologists and other biomedical/radiologically related specialists.
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Fellowships are available for applicants up to the age of 35 years (at the time of application).
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Applicants must be ESR members or Members in training*.
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Applicants must provide all the required documents together with application.
Please note that during a calendar year, candidates may only apply for one of the offered ESOR training programmes. Multiple applications for different programmes will be rejected.
Duration and funding
The fellowship will last for 2 months and must take place in the first half of 2020 (January to June). The fellow has to ensure his/her availability for the exact agreed period as any postponement is not possible. The fellow will receive a grant (€2.500,-) upon completion of the training and delivery of a final report, signed by the head of department of the hosting training centre. The grant is intended to contribute in part to travel and accommodation expenses during the training period. ESOR cannot guarantee that the grant will cover these costs in full. During the period of the training the fellow is responsible for covering his/her expenses and his/her own health insurance.
Projects
Project #1: Machine learning in cardiovascular CT and MRI
Project #2: Body Composition assessment by CT, MRI and US
Project #3: Improving quantitative imaging in assessing cancer using whole body MRI
Project #4: Evaluation of pulmonary microcirculation in pulmonary hypertension (PH)
Project #6: Neuro-oncology / Neurovascular
Project #11: Deep learning in cardiovascular MRI and CT