BANDO AR.012.2023, CNR-NANOTEC ROMA,PRIN PROJECT TARDIS 2022CFP7RF PRIN2022 TArgeting misfolded Retinal tau for early AlzheimeR’s DIsease diagnosiS
28 Dec 2023
Job Information
- Organisation/Company
CNR-NANOTEC ROME INSTITUTE- Research Field
Physics » Computational physics- Researcher Profile
Established Researcher (R3)- Country
Italy- Application Deadline
8 Jan 2024 - 18:00 (Europe/Rome)- Type of Contract
Temporary- Job Status
Full-time- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Experimental and computational research of the realization of an Alzheimer Biomarker through
Microscopy and eye fundus Images.
One of the most promising approach for the early diagnosis of the Alzheimers’s disease is the retinal investigation.
In this project we propose to:
-finalize the experimental realization of a super-resolution ophthalmoscope prototype based on structured light illumination
-Create data analysis software capable of improving the retinal images quality
-Create a data analysis system useful for extracting the sensitivity and efficiency of the instrument on data obtained from Alzheimer's patients and controls.
It is therefore required:
1. Knowledge of software platforms, (Matlab, phyton, c++), and basics of programming and creation of machine learning architectures
2. Knowledge of the principles of optics, microscopy, fluorescence, super resolution
3. Realization of deep learning architectures for machine learning, e image enhancement
4. Software instruments and libraries like: Pitorch, Keras, tensorflow.
Requirements
- Research Field
- Physics » Computational physics
- Education Level
- PhD or equivalent
Skills/Qualifications
Master degree Physics or informatics or related subjects
Ph.D. in Physics, Informatics or related subjects
Specific Requirements
At least four years of Post doc experience. and experience in the field of image analysis or photonics and classical optics, experimental experience in optics. Experience in machine learning and building inference software using deep convolutional networks.
- Languages
- ENGLISH
- Level
- Good
- Languages
- ITALIAN
- Level
- Basic
- Research Field
- Physics » Computational physics
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- CNR-NANOTEC SEDE DI ROMA
- Country
- Italy
- State/Province
- ITALIA
- City
- ROMA
- Postal Code
- 00185
- Street
- PIAZZALE ALDO MORO, 2
- Geofield
Where to apply
- Website
https://selezionionline.cnr.it
Contact
- State/Province
ITALIA- City
ROMA- Website
http://nanotec.cnr.it- Street
PIAZZALE ALDO MORO, 2- Postal Code
00185
[email protected]
STATUS: EXPIRED
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