Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
characterisation of fungal communities, working with “big data”, and characterising soil physicochemical properties. You will join a diverse, active and collaborative research group in the Soil and Ecosystem Ecology
-
ASE is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in
-
, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to
-
of TCR interactions. As part of the Deep Immune Receptor Modeling (DIRM) project, funded through the Novo Nordisk Foundation Data Science Collaborative Research Programme, this PhD project aims to
-
developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
-
an active research program, supported by external funding, in the area of artificial intelligence (AI), health and big data informatics, digital health innovations, digitally enabled interventions
-
), digital ethnography, online social network analysis, AI content generation, social media analytics and big data analysis, agent-based modeling, or other innovative technological approaches to research
-
Inria, the French national research institute for the digital sciences | Paris, Kentucky | United States | 11 days ago
that study and the gold data it requires. The postdoctoral researcher will be supervised by Thibault Clérice. They will work closely with: the project's PhD candidate in NLP, co-supervised by Thibault
-
, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or
-
big data Familiar with EFT frameworks (specifically event generation with EFT models) Familiar with statistical analysis tools Able to handle combinations of different particle physics measurements