Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- KINGS COLLEGE LONDON
- NEW YORK UNIVERSITY ABU DHABI
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Munich
- University of Southern Denmark
- University of Washington
- CEA
- Durham University
- Georgia State University
- Heriot Watt University
- Leibniz
- New York University of Abu Dhabi
- Oak Ridge National Laboratory
- Purdue University
- Stanford University
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- The Hebrew University of Jerusalem
- The Ohio State University
- The University of Arizona
- UNIVERSITE PARIS CITE
- UNIVERSITY OF SYDNEY
- University of Cambridge
- University of Groningen
- University of Kansas Medical Center
- University of Minnesota
- University of Sussex
- University of Sydney
- University of Virginia
- Virginia Tech
- Wayne State University
- 22 more »
- « less
-
Field
-
research environment. Where to apply E-mail sec.epidemio.htd@aphp.fr Requirements Research FieldMedical sciences » EpidemiologyEducation LevelPhD or equivalent Skills/Qualifications Education level : PhD
-
and are looking for a Postdoctoral Research Associate AI-Driven Sensing and Control for Megaproject Systems who has: a PhD or near-completed PhD in one of the following fields (or closely related
-
-Driven Sensing and Control for Megaproject Systems who has: a PhD or near-completed PhD in one of the following fields (or closely related): project Management or Project Studies (with strong computational
-
Applications are invited for a 2-years position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting
-
structural and algorithmic graph theory. The purpose of the role is to contribute to the project “Algorithmic meta-classifications for graph containment”, working with Professor Matthew Johnson, Dr Barnaby
-
projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
-
independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills
-
include: · building hierarchical causal graphs to account for the multi-scale structure of the experimental system, · detecting latent variables that may affect causal inference
-
on “Maternal Immune Activation” involving the development of novel artificial intelligence methods (graph and geometric deep learning, LLMs, …) working on methods for predictive multi-omics integration
-
and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical