Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
international collaborators. The group's interests cover a wide range of areas including extremal and probabilistic combinatorics, combinatorial optimization, graph theory, game theory, algorithmics and geometry
-
, forecast, and crowd-sourced station data into probabilistic maps. The challenge: conditioning generative models on large, heterogeneous, incomplete data will require the student to work on cutting-edge ML
-
to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
-
to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
-
medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will
-
, veribiability and human oversight should be redefined in the presence of probabilistic outputs, non-deterministic agent behavior, and continuous data dependencies, and how these factors impact the trustworthiness
-
the presence of probabilistic outputs, non-deterministic agent behavior, and continuous data dependencies, and how these factors impact the trustworthiness and compliance of evolved requirements artifacts
-
in the presence of strategic, realistically constrained adversaries and probabilistic uncertainty. We seek to develop analysis and design algorithms that incorporate cross-layer information and account
-
intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed