Sort by
Refine Your Search
-
The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc
-
molecular simulations, machine-learning techniques, and statistical mechanics for research opportunities in: Development of data-driven schemes for the discovery of slow degrees of freedom Molecular
-
Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage
mission will be to develop machine learning models to predict properties of alloys of elements of groups 1 to 15, such as their melting temperature, range, and enthalpy. Based on these predictive models
-
integration. - Basic knowledge of Machine Learning and Machine Learning Operations would be a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR6402-CHRDUR-163/Default.aspx Work
-
and apply Deep Learning tools for protein modeling, small molecule docking, and structure prediction. • Collaborate with interdisciplinary teams to advance research goals and contribute to scientific
-
or a synthetic CT via different methods such as bulk density assignment (BDM), atlas-based and deep learning (DL) methods [2]. In the literature, however, teams have sought to use proton density
-
Description The person recruited will be responsible for the development of a computer system that combines deep learning, natural language processing, and psychology of language. - Develop, manage and
-
. Exploiting and presenting the results of analyses, and guaranteeing their follow-up and quality. Help students learn the basics of experimental neuroscience. The post is funded by a grant from the Alzheimer's
-
of those partners (e.g., Forschungszentrum Jülich GMBH, Paul Scherrer Institute, Bosch, University of Leiden, etc.) to develop new tools and acquire new knowledge that shall be implemented in said platform
-
researchers who teach in mathematics, engineering, and economics departments at the Universités of Lorraine and Strasbourg. At the Archives Poincaré, the postdoc will benefit from work space, access to library