Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Carnegie Mellon University
- KINGS COLLEGE LONDON
- Susquehanna International Group
- Technical University of Munich
- Universite de Moncton
- CNRS
- Heraeus Covantics
- Imperial College London
- Leibniz
- McGill University
- Nature Careers
- The University of Chicago
- University of Cambridge;
- University of Luxembourg
- University of Minnesota
- University of Utah
- 7 more »
- « less
-
Field
-
spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
-
operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
-
requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport
-
, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
-
techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
-
to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
-
for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving
-
to data-driven research projects focused on glaucoma, diabetes or nAMD using large-scale clinical and imaging datasets. Develop, validate, and implement machine learning models and statistical tools