Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- INSERM
- 3IA Côte d'Azur
- Institut Pasteur
- Université de Bordeaux / University of Bordeaux
- AIX MARSEILLE UNIVERSITE
- INSA Strasbourg
- INSERM U1325
- Inria
- LEAD CNRS UMR5022, Université de Bourgogne
- Luxembourg Institute of Science and Technology (LIST)
- MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices
- Mines Paris-PSL
- UNIVERSITE D'ORLEANS
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite de Montpellier
- University of Luxembourg
- Université Paris 1 Panthéon Sorbonne
- Université Paris 1 Panthéon-Sorbonne
- Université de Lorraine
- Vascular Brain Health Institute
- 11 more »
- « less
-
Field
-
professor will strengthen the “Quantitative Nanoimaging of Biological Systems – Organization and Dynamics” team, which focuses on cell signalling processes and develops original techniques based on tracking
-
Please submit your application to [email protected] Work Location(s) Number of offers available1Company/InstituteInstitut Montpelliérain Alexander Grothendieck (IMAG)CountryFranceGeofield
-
vision frameworks, applied machine learning techniques, and medical imaging standards Develop user-friendly front-end interfaces, web dashboards, or software demonstrators to make biomedical image analysis
-
prototype (high-density surface electromyography). As a key player in the project, you will be involved in a complete process of creating technological "bricks": specifications, programming, characterization
-
. Proficiency in fluorescence microscopy imaging techniques is also required. Skills in processing and quantifying scientific images (e.g., using ImageJ/Fiji or equivalent software) are additionally desirable
-
ultrasound data and shear-wave elastography images during the patient's breast ultrasound examination for different probe positions and placements using an ultrasound scanner Ultrasound Data Post-processing
-
deep learning has led to the emergence of Transformers-type networks whose performance has revolutionized the field. These networks are the basis of next-generation image processing models (such as
-
world. • Network & Collaborations: Your work will be supported by strategic collaborations with LabEx member laboratories (CEA-LETI, CROMA, TIMA, LMGP) for the development of processes, advanced metrology
-
familiarity-based processing to locate their shelters, such as those established underwater beneath rocks. The visual familiarity principle (ultra-frugal AI), inspired by invertebrate cognitive mechanisms
-
Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
the left atrial appendage. Second, CFD simulates high-resolution hemodynamics but requires patient-specific geometry, wall mechanics, and boundary conditions, as well as demanding advanced imaging and