Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, the web AI, and politics. For this position, we seek to develop the análisis of web and social media data using AI methods, as well as investigating AI models themselves. We are looking for candidates with
-
the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
-
within the ANITI HUCAD project which aims to develop Artificial Intelligence (AI) systems fostering human-machine collaboration for effective deliberations. It aims to enhance the argumentation
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The role involves designing, developing, and assessing artificial intelligence systems
-
experimental developments for MORA. Main activities: • Analysis of MORA data acquired at the University of Jyväskylä: development of measurement analysis tools, evaluation of systematic effects, data analysis
-
missions within the framework of this ERC: i) to develop new models for the geometry of the cosmic web, taking into account the bias of baryons, and ii) to implement “nulling” techniques to predict the weak
-
the development of flexible nanozeolites. This position offers a unique opportunity to explore the structural dynamics of nanozeolites under varying conditions and contribute to advancing green
-
invertebrate hosts, targeting specific steps of viral replication would be an efficient strategy to block viral transmission and disease spread. The development of new drugs requires a precise understanding of
-
of massive galaxies. A series of zoom-in cosmological simulations has been developed by the collaboration in order to understand the physical processes governing the extreme phases of early mass assembly in
-
scientific excellence on zeolites and porous materials. • Conduct high-level research in zeolites and porous materials. • Mentor and train early-career researchers in both theoretical and practical skills