Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Institut Pasteur
- Université Grenoble Alpes
- Inria, the French national research institute for the digital sciences
- Nantes Université
- Nature Careers
- Aix-Marseille Université
- CEA
- Mediterranean Institute of Oceanography
- Université Savoie Mont Blanc
- Université de Caen Normandie
- Consortium Virome@tlas
- European Magnetism Association EMA
- FRANCE ENERGIES MARINES
- French National Research Institute for Sustainable Development
- IFP Energies nouvelles (IFPEN)
- Institut of Mathematics of Marseille
- LISA UMR7583
- Observatoire de la Côte d'Azur
- Télécom SudParis
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Marie et Louis Pasteur
- 12 more »
- « less
-
Field
-
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 1 month 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
-
with basic continuum and rock mechanics, including computational approaches. * Programming in C / python / Julia or equivalent, and ideally some experience with high-performance computing * Familiarity
-
Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow
-
such as Python, R or Labview would be an asset. The ability to work in a team and a good command of English are required. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5629
-
BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
-
visualization. Experience with GWAS, Bayesian modelling, and/or machine learning applied to biological data. Strong programming skills (R, Python) and ability to manage large-scale -omics datasets. Good
-
mathematics, computational physics, or computer science Strong programming skills (e.g., Python, PyTorch, TensorFlow) Experience in one or more of the following areas: Generative AI models (transformers
-
FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Experience with detector hardware and knowledge in silicon-based detectors - Expertise in C++ and python programming - Strong
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 20 days ago
track record in applied mathematics, scientific computing, and computational mechanics; Proficiency in programming (Python/C++); Solid knowledge of numerical methods. Highly appreciated qualifications
-
languages: Unity, C#, R, Python, etc. Concept i on and development of visualisation tools Implementation of experimental protocols, experimental methodology Analysis of experimental data Use of eye-tracking