Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
, particularly in analyzing natural radio emissions (e.g., Jovian DAM or planetary magnetospheric emissions) Proficiency in time-series analysis, spectral estimation, and autocorrelation methods applied
-
to apply Website https://www.academictransfer.com/en/jobs/354994/postdoc-neuro-inclusive-partici… Requirements Specific Requirements You have a PhD in Industrial Design, Human–Computer Interaction, Design
-
5 Sep 2025 Job Information Organisation/Company University of Luxembourg Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Country Luxembourg
-
. Exploring how these models can enhance human-computer interaction and improve our understanding of multimodal communication.To do so, you will have full access to motion-capture and virtual-reality labs, 3D
-
. Exploring how these models can enhance human-computer interaction and improve our understanding of multimodal communication.To do so, you will have full access to motion-capture and virtual-reality labs, 3D
-
scenarios to inform long-term conservation planning and decision-making. Using structured survey data to scale eBird-derived estimates of relative abundance to population size to quantify the combined impacts
-
of the Faculty of Computer Science of the University of Vienna. This group is distinguished by excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and
-
to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health
-
develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other researchers at Princeton and other institutions
-
://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing