Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Ecole Centrale de Lyon
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Centrale Supelec
- Fondation nationale des Sciences Politiques
- IFP Energies nouvelles (IFPEN)
- Institut polytechnique UniLaSalle
- Nantes Université
- Science me Up
- Université Gustave Eiffel
- Université côte d'azur
- Université de Pau et des Pays de l'Adour
- 3 more »
- « less
-
Field
-
expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
-
be responsible for advancing the core research streams of the ERC LEARN project. Key responsibilities: In close collaboration with the PI and the other members of the research team, the doctoral
-
analytics Exploring and implementing federated learning and privacy-preserving AI approaches for distributed clinical datasets Collaborating closely with data providers, clinicians, and technical teams
-
developments Work alongside leading colleagues in the field of NDT and Machine Learning (including in collaboration with Prof. Parisa Shokouhi , Penn State, USA). Properly communicate and disseminate your
-
growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
-
Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
-
innovation player in Luxembourg, dedicated to technological innovation in the fields of environment, information technology, and materials. At the heart of a collaborative ecosystem spanning fundamental
-
chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
-
methods Excellent programming skills and familiarity with modern deep learning frameworks Strong interest in interdisciplinary research, and the ability to engage meaningfully with collaborators from
-
comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically