Super-resolution imaging and quantitative analysis for 2PM and STED-2PMOffer by Large Company/SME
Please note that the job is no longer active!
The position is a 12 months position for Experienced Researchers (ER).
The researcher will study and develop novel algorithms to enhance the resolution of two-photon microscopy (2PM) images by relying on convex optimization techniques. The expected outcome is a prototype implementation of the algorithms that will be experimentally tested and validated in collaboration with University of Bordeaux. Furthermore, the researcher will define end-user needs for visualization and processing of 2PM and Stimulated Emission Depletion (STED)-2PM images. The algorithms implemented during the project should preferably rely on parallel and distributed computation (e.g. on a cloud infrastructure). A secondment at University of Bordeaux (3 months) will be exploited to get hands-on acquaintance with 2PM techniques.
∙ Design and development of algorithms to enhance 2PM image resolution
∙ Design and development of algorithms for knowledge extraction from 2PM raw data
∙ Design and development of a web-based GUI application for data visualization
Tasks and methodology
∙ Computer vision and image analysis
∙ Convex optimization techniques
∙ Supervised and semi-supervised machine learning with regularization
∙ Parallel and distributed computation on cloud-based infrastructures
Skills to be acquired:
-theory and methodology to develop novel algorithms in image analysis,
-convex optimization and machine learning;
-software development for quantitative analysis of bioimages and complex data visualization.
With all other trainess of the Marie Curie ITN Nano2fun, the recruited ER will follow well-structured and targeted training activities, which will ensure that all trainees will have a common knowledge background in the basic research field relevant to the nano2fun project (www.nano2fun.eu) as well and in complementary skills, including professional conduct, communication and exploitation of the results, grant-writing, career-planning, etc. The direct involvement in the training program of private sector actors ensures thorough training into IP issues, spin-off creation and management, etc.
Nr of positions available : 1
Experienced researcher or 4-10 yrs (Post-Doc)
Recognised Researcher (R2)
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|Degree||PhD or equivalent|
|Candidates must not have resided, worked or studied in Italy for more than 12 months in the 3 years prior to the time of recruitment. Compulsory national service and/or short stays are not taken into account.|
|proved experience in scientific programming using interpreted (matlab/python/R) and/or compiled languages (C/C++), both preferred.|
|The candidate must at the time of recruitment be EITHER in possession of a doctoral degree, OR have at least four years full-time equivalent research experience. This is measured from the date when the researcher obtained the degree which formally entitles him/her to embark on a doctorate in the country in which the degree was obtained. In both cases, they should have less than 5 years of full-time equivalent research experience.
Example 1): a researcher obtained her PhD after 4 years and subsequently worked in research for 13 months under a postdoctoral position. She WOULD NOT BE eligible as her research experience exceeds the first five years of her career.
Example 2): a researcher is in the process of writing up her Ph.D. after 4½ years of research and would like to apply for an appointment within an ITN. She WOULD BE eligible for recruitment due to her level of experience.
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