Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
across Europe at the intersection of advanced imaging, data fusion and cultural heritage. More information on the UNVEIL Project Website: https://unveil-dn.eu/ Duration 36 month full time role commencing
-
addresses critical challenges in personalized medicine, disease stratification, and multi-modal data fusion, enabling next-generation solutions in precision health and biomedical research. Scientific
-
are specially focusing understand the role of oncogenic fusion proteins induced by chromosomal translocations on chromatin organization, gene expression and how eventually it participated to the disease
-
Engineering in general (Spatial/environmental statistics, geographic information systems, big data analysis and utilization, information sensing, sensor fusion/integration, intelligent transportation systems
-
data-driven approaches are sufficient, and how hybrid strategies can be used to deliver reliable digital twins for fusion energy applications. Where to apply Website https://www.swansea.ac.uk
-
engineering (e.g., fusion proteins or ligand display), affinity-based targeting, or cell-uptake assays will be an advantage. Excellent English communication skills, ability to work independently and responsibly
-
position within a Research Infrastructure? No Offer Description In a fusion reactor its walls must endure intense heat fluxes as well as a constant bombardment of neutrons and plasma species. Traditionally
-
an AI4Science research program at PPPL. Specifically, the incumbent will address the emerging need for AI/ML in fusion, other areas of plasma physics, and computational sciences. In addition, the incumbent will
-
at the M2P2 Laboratory (Marseille), in collaboration with the Fusion Modeling Research Group at CEA Cadarache. The successful candidate will contribute to the operation and development of SOLEDGE-HDG, a cutting
-
: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and