Sort by
Refine Your Search
-
Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | about 2 months ago
/public/classic/en/offres/2025-08683 Requirements Skills/Qualifications Python programming. Deep Learning with Python (preferably with Pytorch). Experience with GIS. Experience with NLP would be a plus
-
water. Clearly identified scientific objectives motivate and guide the design and development of space mission by CESBIO and monitoring tools. Missions: - Data processing, apply and tune deep-learning
-
under the guidance of Prof. Ivan Nourdin. Your role Conduct research in machine learning, deep learning, and probabilistic modeling, with a focus on real-world applications Disseminate research findings
-
Deep Learning-type methods. The focus will be on geodesic methods, the search for paths of minimum length according to an adapted metric, imposing for example a penalization of the curvature. In addition
-
integration (including environmental sensors and eye-tracking technologies), strong machine learning and deep learning skills (especially embedding models and spatial data analysis), and experience in
-
FieldComputer scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science
-
This position will consist of using "deep learning" methods, in particular CNNs and "transformers" for the processing of data from the IASI instrument from CNES. These observations are brightness temperature
-
urban walkability perception through hybrid sensing and Deep Learning -Macroelements in Earthquake Engineering -Experimental characterization of the sealing properties of caprock formation for CO2
-
, having a wide range of applications, from astronomical imaging to computational photography. In recent years, (deep) learning-based solutions have obtained state-of-the-art performance in many applications
-
- Statistical and programming skills (e.g., R, Python, Matlab, Praat scripting) - Strong interest in automatic speech processing and machine learning tools (e.g. deep speech processing, wav2vec...) - Prior