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____________Studentships___________
Berlin Campus Buch,
(Germany), Max Delbrück Center for Molecular Medicine:
Doctoral (PhD) or Master Students in Ultrahigh-Field MR Imaging
Methodology.
Brighton and Sussex Medical School (UK), Clinical Imaging Science
Centre, PhD studentship on the development of non-invasive metabolic and microstructural MRI biomarkers in skeletal muscle:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=34796
____________Job Opportunities___________
The Foundation of the European Institute of Oncology – Milan
(www.ieo.it)
announces a grant of 20.000 euros (gross) per year for graduates
in Fisics or Biomedical Engineering, dedicated for a research
project within the Radiology Department. The research will focus
on Magnetic Resonance Imaging, in particular on the analysis of
diffusion and perfusion imaging. Strictly necessary are the
knowledge of programming (for example Matlab) applied to
tomographic images and the use of instruments for visualization
and elaboration of images.
The offer will remain open until a suitable candidate is
found.
For further information and applications please contact:
Paul Summers (paul.summers@ieo.it) o Giuseppe Petralia (giuseppe.petralia@ieo.it)
-The Centre for Nanotechnology Innovation (Pisa, Italy,
cni.iit.it) has three
immediate 6 to 9 months internship openings in the analysis of
Magnetic Resonance Images.
A - The analysis of functional MRI resting-state signals in
preclinical models of neurological disorders.
We are seeking for an intern that will develop and implement an
image-processing and analysis pipeline to analyze and classify
resting state MR signals.
B - The implementation of algorithms for multi-dimensional
analysis of MR functional and structural connectivity datasets.
C - Development of MRI sequences and image analysis for cardiac
function analysis at 7 Tesla. The intern will apply MRI methods
to image cardiac function and anatomy, and initiate the
development of analytical platform for high-resolution cardiac
MR datasets.
More information can be found at:
http://cni.iit.it/resources/calls/22-calls/58-borse-di-ricerca-al-cninest.html
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