Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Universite de Montpellier
- Aix-Marseille Université
- Nantes Université
- Université Savoie Mont Blanc
- Université de Caen Normandie
- BRGM
- CEA
- Centrale Lille Institut
- Grenoble INP - Institute of Engineering
- IMT - Atlantique
- INRAE
- INSERM U1183
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- 5 more »
- « less
-
Field
-
conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
-
partners to correlate cultivation conditions with upstreams processes Evaluate mass and energy balances, nutrient cycles, and LCA-relevant data for sustainability assessments. Design and test optimization
-
optimize the UV micro-photoluminescence setup. Perform optical and cryogenic tests. Develop the software for control of the instruments and data acquisition based on PyModAq, Where to apply E-mail
-
, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
-
30 Sep 2025 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Department of Industrial Process Engineering Research Field Chemistry Engineering » Process
-
• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Optimizing the functionality of Fe2P compounds through microstructural control
-
Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 27 days ago
inversion process for the separated P- and S-wave components, and develop the appropriate strategy for optimal reconstructions. This will directly contribute to the project's overarching goal of improving
-
to quantify experimentally and numerically due to the spatial variability of the microclimate within an agroforestry system and the existence of antagonistic processes. Nevertheless, successfully predicting
-
in the operation of the ultra-low field MRI system by contributing to validation studies on phantoms and in clinical settings. Where to apply Website https://institutminestelecom.recruitee.com/o/post