Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- University of Minnesota
- Chalmers University of Technology
- Helmholtz Association of German Research Centres
- Luleå tekniska universitet
- Stony Brook University
- University of Twente (UT)
- Aalborg University
- Argonne
- EPFL
- Eindhoven University of Technology (TU/e)
- European Space Agency
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Heriot Watt University
- Inria, the French national research institute for the digital sciences
- Institut Barcelona d'Estudis Internacionals
- Instituto Superior Técnico
- KTH Royal Institute of Technology
- Lulea University of Technology
- Pennsylvania State University
- SciLifeLab
- UNIVERSIDAD POLITECNICA DE MADRID
- University College Cork
- University of Amsterdam (UvA)
- University of Birmingham
- University of Liverpool
- University of New South Wales
- University of Oxford
- University of Twente
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- 22 more »
- « less
-
Field
-
contexts is valuable but secondary to technical excellence. Required qualifications A PhD degree in Computer Science, Artificial Intelligence, or a closely related technical field. Demonstrated expertise in
-
and within the constraints of available funding. In this context, you might be expected to generate new research ideas and lead development of new research proposals. In this position, you will
-
will carry out detailed analyses of footslope and riparian well dynamics in the context of various other observed variables and landscape characteristics with the aim of identifying metrics and locations
-
Postdoctoral Researcher (f_m_x) - Hydrology (advanced data analyses and innovative experimental w...
Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months agothe context of various other observed variables and landscape characteristics with the aim of identifying metrics and locations with the most information content on SSF occurrence. These extensive data analyses
-
, transitions of control, driver awareness, and the communication of system capabilities and limitations. The project brings together expertise from human-computer interaction, AI, human factors, cognitive
-
researcher will investigate how AI embedded in physical entities, such as robots, vehicles, or sensors, form representations of space, motion, and context through continuous, multimodal interaction with
-
integration and device modelling. Job requirements We are acutely aware that we are a diverse society and not every talented applicant will have had the same opportunities to advance their careers. We therefore
-
are seeking a highly motivated postdoctoral researcher to work on reinforcement learning methods for public health decision-making in the context of epidemic emergencies, with potential impact on public health
-
intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
-
researchers and solution providers to develop, integrate and validate methods in realistic industrial contexts. Depending on the final research profile, the position may also contribute to related projects