Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Grenoble INP - Institute of Engineering
- Inria, the French national research institute for the digital sciences
- IMT Nord Europe
- INSA Rouen Normandie
- Institut Pasteur
- Sorbonne Université
- Télécom Paris
- Universite de Montpellier
- University of Luxembourg
- Université Côte d'Azur
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Limoges
- Université de Reims Champagne Ardenne
- 5 more »
- « less
-
Field
-
, and optimizing cleanroom-based micro- and nanofabrication processes dedicated to the fabrication of these MEAs; Integrating the developed bioelectronic devices into microfluidic organ-on-chip platforms
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
these limitations. By leveraging RL during the post-training phase, foundation T2V models can be explicitly optimized to follow complex conditioning signals, enforce temporal consistency, and align with specific
-
identify the optimal foaming process parameters and study the effects of additives such as starch, silica and calcium carbonate on thermal, mechanical and water-related properties. They will also be
-
dilution refrigerators. • Implement and optimize multiplexed cryogenic control and readout schemes developed within the PEPR PREQUILE program. • Interface cryogenic control electronics with quantum device
-
lattices. • Implement and optimize RF reflectometry and dispersive sensing techniques for the measurement of complex admittance and charge susceptibility. • Design, characterize and improve microwave
-
, PhDs, and Engineering degrees). These programmes are available through initial training,continuing education, work-study formats, or various accreditation pathways, both on-site and via distancelearning
-
characterization and iterative optimization to enhance device performance. The ICube Laboratory (UMR 7357) is a joint research unit under the supervision of the CNRS, the University of Strasbourg, and INSA
-
Metasurfaces: • Develop multilayered MSs using FDTD, RCWA, or inverse design methods to achieve broadband achromatic performance (400–700 nm). • Optimize MS geometries for high numerical aperture (NA), wide
-
, …). Some effort may be dedicated to finding a tensor network topology (tensor train, tree tensor network, …) allowing to optimally represent vector fields arising from turbulence simulations. Then, this
-
on vaccine responses will be assessed using the optimal mRNA-LNP formulation defined in Aim 1, with readouts focusing on specific B cell responses and antibody maturation. This project should provide a robust