Sort by
Refine Your Search
-
Category
-
Employer
- CNRS
- IMT Atlantique
- Inria, the French national research institute for the digital sciences
- ESSEC Business School
- Ecole Centrale de Lyon
- IEMN (Institut d'Electronique, Microelectronique et Nanotechnologie)
- INSA de LYON
- Mines Paris - PSL, Centre PERSEE
- Nantes Université
- Universite de Montpellier
- Université Jean Monnet Saint Etienne
- Université de Lorraine
- 2 more »
- « less
-
Field
-
with optimal efficiency and stability for H₂ oxidation and O₂ reduction. The position is based at the Laboratory of Bioenergetics and Protein Engineering (UMR7281 CNRS) in Marseille, France, within
-
propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
-
of C2N's clean room. Methods will then be developed using standards to optimize detection and quantification limits, before working on patient samples. This multidisciplinary project will be carried out by
-
the resource costs of quantum control, optimizing quantum heat engines or understand the energy transfers during a quantum measurement. Those milestones would in turn allow for important experimental
-
advanced structural analyses methods and DFT calculations the H-bonding networks involving water molecules and SbW6 units, responsible of PL quenching effects. - to optimize the recycling procedures
-
semseter, TD-DFT will be benchmarked against experimental and higher-level theoretical data. Ground-state structures will be optimized using various hybrid exchange-correlation functionals, and environmental
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
parallelism than a typical workload. This necessitates extensive knowledge of FPGA programming to effectively map the application kernel and optimize the design for the FPGA microarchitecture. [1] A
-
period to compensate for compressive stress in the InGaAs layers. The final approach concerns the development of ultra-fast PIN photodiodes optimized for operation at 1 µm, using an absorption layer based
-
, Markov Chains, Couplings, Optimal Transport, Robust Statistics, Differential Geometry and Reinforcement Learning. The successful applicant will be part of a team led by the principal investigator
-
, the PhD student will develop the LIT of metallic nano-objects, characterize the new mechanisms involved and optimize the process for the functionalization of large surfaces. The PhD student will then adapt