Sort by
Refine Your Search
-
group there has been a long-standing involvement within studies of ultra-peripheral collisions, where the group has developed one of the leading simulation tools (called 'STARLIGHT') and has been involved
-
modules for the ITk (ATLAS Inner Tracker). Within the ALICE group there has been a long-standing involvement within studies of ultra-peripheral collisions, where the group has developed one of the leading
-
significant contribution towards this goal, but many environmental, economic, and societal factors need be considered. This PhD position will focus on assessing the future evolution and spatial distribution
-
on assessing the future evolution and spatial distribution of climatic conditions throughout the entire lifespan of a wind farm. The main objective will be to identify regions with the most favourable climatic
-
structural bioinformatics and molecular modeling tools, as well as building on and further developing the datasets and codes from the PePrMInt project (Cf https://doi.org/10.1371/journal.pcbi.1010346
-
well as building on and further developing the datasets and codes from the PePrMInt project (Cf https://doi.org/10.1371/journal.pcbi.1010346 ). Qualifications and personal qualities: Applicants must hold a master's
-
interdisciplinary collaboration between the Department of Mathematics and the Department of Physics and Technology. The project includes three main activities: (i) the development of novel simulation techniques, (ii
-
the doctrinal framework and evolution of the intersection between intellectual property law and artificial intelligence. About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and
-
well as their individual research within the Center for Digital Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new
-
Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new computational models of narrative and re-implementing