15 Feb 2019
15 Feb 2019
|Date:||15 Feb 2019|
|Location:||Champalimaud Centre for the Unknown, Lisbon, Portugal|
|Job Type:||Full Time|
|Application starts:||15 Feb 2019|
|Application ends:||30 Mar 2019|
We are searching for a highly motivated computational imaging scientist for neuroimaging analysis of ‘high content’ data sets from medical images.
The successful applicant is expected to be pivotal co-worker in analysis of high-throughput imaging data (imaging biomarkers) and in development of new methods for analysis and modelling of imaging data (machine and deep learning). The work will be in direct connection with the clinics and the results will be strategic for the decision-making of physicians and researchers.
~ Analysis of imaging data from patients with malignant diseases.
~ Data mining of results in connection with biologists and physician researchers.
~ Degree in Biomedical Engineering or Mathematics or Computer Science or equivalent knowledge.
~ Good knowledge of Python and R, ability to code bioinformatic scripts.
~ Understanding of biology and imaging.
~ High level of autonomy and good ability in problem-solving.
~ Team spirit and willing to collaborate with Biomedical Engineers, Radiologists, and clinical physicians.
~ Excellent communication skills (written and verbal) in English.
Research is at the heart of the Champalimaud Centre for the Unknown, a modern research and clinical facility situated on the waterfront in Lisbon, Portugal.
Champalimaud Research comprises a team of over 250 scientists from around the world with foci in neuroscience and cancer research. English is the official language of the Centre. Lisbon’s sunny Atlantic Mediterranean climate, vibrant culture and high quality of life make this a great place to live and work.
To apply, please send a letter of motivation, a 2-page CV and the names and contact information of 2 references to firstname.lastname@example.org with “Computational Clinical Imaging Postdoc [your last name]” in the subject line.
Position will remain open until the end of March 2019.