Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
-
to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
-
disciplines. Desirable Skills and Experience (any of these skills help your application, but are not essential) Research Data Management: Experience with large-scale data curation, FAIR data principles, and
-
) in the social sciences, as of 1st August 2026, or by arrangement. The position is embedded in a large interdisciplinary research project, ICARUS, that investigates individual vulnerability, behavioral
-
with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
-
storage, compression, and transfer systems suitable for large, long-duration experiments. • Build complete, user-friendly data-analysis workflows from preprocessing through visualization, and train
-
) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include: Efficiently handling and managing large data volumes Performing numerical reconstruction of holograms
-
towards generalizable principles across content areas and issues of societal relevance. The group is looking for a postdoctoral researcher to contribute to ongoing research on Large Language Models as
-
range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
-
of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating