Sort by
Refine Your Search
-
subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD Research Fellow position: About the PhD fellowship: The fellowship
-
system. The regulation will be applied in the processing of the applications. About the PhD Research Fellow position: About the PhD fellowship: The fellowship will be for a period of 3 years, with
-
methods for processes associated with porous materials, with a particular emphasis on geological applications. Qualifications and personal qualities: Applicants must hold a master's degree or equivalent
-
. The group’s primary area of research relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on geological applications. Qualifications and
-
marked with: 25/5904 Applications sent by e-mail will not be evaluated. General information: Detailed information about the position can be obtained by contacting: Professor Brita Ytre-Arne (project leader
-
University of Bergen’s campus. The CDN focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and processed. Work
-
marked with: 25/5904 Applications sent by e-mail will not be evaluated. General information: Detailed information about the position can be obtained by contacting: Professor Brita Ytre-Arne (project leader
-
narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and processed. Work tasks: We are looking for a researcher who is interested in
-
process). Further exploration of adversarial learning strategies for ensemble generation to provide an out-of-the-box solution for cell-type deconvolution which provides error estimates are planned. Second
-
. This includes both implementing pistemic uncertainties (model uncertainties) and aleatoric uncertainty (stochastic errors from the measurement process). Further exploration of adversarial learning strategies