Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Institut Pasteur
- Nature Careers
- CEA
- BRGM
- CNRS-ENS-UCBL
- European Magnetism Association EMA
- Inria, the French national research institute for the digital sciences
- Université Bourgogne Europe
- Université Grenoble Alpes
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Savoie Mont Blanc
- Université de Reims Champagne Ardenne
- 3 more »
- « less
-
Field
-
innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
-
for the analysis of the sequence data, to describe the genetic diversity between French regions for different types of variants (SNV, indels, SV, STR, mictochondrial…). He/she will work in collaboration with our
-
components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
-
reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
-
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 3 days ago
Requirements Specific Requirements This project will require a candidate with experience in: Image registration algorithms (non-rigid is a plus) Advanced Python programming skills (especially with Torch / Keras
-
Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 days ago
, located at Inria Paris and École Normale Supérieure (ENS). The team conducts research in various aspects of quantum information theory, including quantum error correction, quantum algorithms, and the
-
of main control parameters as well as different patterns and amplitudes of the heat flux on the outer boundary. The candidate will analyze these simulations to establish the dependence of the dynamo regime
-
for the conversion of either model compounds in gas phase and of different silicone materials. The fresh and used catalysts will be characterized by different techniques available at IRCELYON. The CARES project funded
-
generations of batteries. Studying phenomena of a very different nature (chemical, structural, morphological) operating on different time and space scales requires combining techniques in a multimodal and
-
communication in different navigation contexts and different types of flows. The successful candidate will be supervised by Aurore Loisy. They will join a multidisciplinary team of researchers and PhD students