Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of blockchain, post-quantum cryptography, quantum algorithms, and heterogeneous quantum computing. Specifically, to achieve the main goal the project is expected to focus on three main areas: How can we support
-
of dynamic physical systems and control system algorithms experience in software development, data analysis and AI practical experience in experimental work motivation and potential for research within
-
computational imaging. The project aims to develop a novel optical phase and refractive-index tomography platform and computational algorithms capable of overcoming the challenges of multiple scattering in thick
-
page) that clearly explains how you meet the selection criteria and your motivation for applying to the position. Published academic works (up to 3 articles). If there are multiple authors, the candidate
-
page) that clearly explains how you meet the selection criteria and your motivation for applying to the position. Published academic works (up to 3 articles). If there are multiple authors, the candidate
-
by emphasising AI systems that facilitate continuous interactions between humans and machine agents, potentially including multiple and embodied AI agents. Countering the current trends of very large
-
including multiple and embodied AI agents. Countering the current trends of very large models with hard-to-control outputs, we will focus on balancing data-based approaches with artists’ knowledge and search
-
to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
-
/ UiO via Unsplash Jarli & Jordan / UiO We offer A unique research environment with multiple opportunities to develop research themes at the forefront of modern science A friendly, inclusive, and
-
falls short: multiple biologically plausible definitions of “true” clusters coexist, analyses typically rely on a single dataset and potentially misleading validation metrics, and robustness is seldom