Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UTB
- Monash University
- Technical University of Denmark
- Tilburg University
- Utrecht University
- Harvard University
- ETH Zurich
- Aalto University
- University of Copenhagen
- Vrije Universiteit Amsterdam
- AALTO UNIVERSITY
- Forschungszentrum Jülich
- University of Luxembourg
- University of Sheffield
- Aalborg University
- Cranfield University
- University of Vienna
- Chalmers University of Technology
- University of Lund
- University of Oslo
- EPFL
- Fraunhofer-Gesellschaft
- Helmholtz Association of German Research Centres
- University of Glasgow
- University of Twente
- NIST
- CEA
- Nottingham Trent University
- Stockholm University
- Susquehanna International Group
- UNIVERSITY OF VIENNA
- University of Florida
- Free University of Berlin
- Ghent University
- Lulea University of Technology
- Carnegie Mellon University
- Gannon University
- Indiana University
- The Ohio State University
- University of Antwerp
- Yale University
- AIT Austrian Institute of Technology
- Heidelberg University
- Institut Pasteur
- Institute of Molecular Biology gGmbH (IMB)
- UNIVERSITY OF HELSINKI
- University of Gothenburg
- University of Helsinki
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- Aarhus University (AU)
- Blekinge Institute of Technology
- Center for Drug Evaluation and Research (CDER)
- Charles Sturt University
- Duke Kunshan University
- Erasmus University Rotterdam
- NEW YORK UNIVERSITY ABU DHABI
- National University of Singapore
- Singapore Institute of Technology
- Texas A&M University System
- Trinity College Dublin
- University of Basel
- University of Bath
- University of Denver
- University of Illinois
- University of Leeds
- University of Miami
- University of Phoenix
- University of Texas at Arlington
- University of Utah
- WENZHOU - KEAN UNIVERSITY
- <span lang="en">Institute of Molecular Biology gGmbH (IMB)</span>
- <span lang="en">TU Berlin</span>
- <span lang="en">TUD Dresden University of Technology</span>
- Aarhus University
- Abertay University
- AcademicMed
- Adler University
- Aston University
- Auburn University
- Australian National University
- Baylor College of Medicine
- Birmingham City University
- California Baptist University
- Capella University
- Central Michigan University
- Colorado Christian University
- Dalhousie University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Flinders University
- Friedrich Schiller University Jena (FSU)
- Heinrich Heine University Düsseldorf
- Howard Hughes Medical Institute
- Inria
- Karlsruhe Institute of Technology
- King's College London
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Linköping University
- Maastricht University (UM)
- Max Planck Institute for Astronomy, Heidelberg
- 90 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Earth Sciences
- Environment
- Chemistry
- Statistics
- Economics
- Business
- Materials Science
- Psychology
- Social Sciences
- Physics
- Electrical Engineering
- Mathematics
- Education
- Humanities
- Design
- Linguistics
- Law
- Philosophy
- Sports and Recreation
- Arts and Literature
- Science
- 15 more »
- « less
-
) identify and quantify the uncertainty in historical trends and near-term model projections. The work will be in close collaboration with scientists at Columbia University and NOAA Geophysical Fluid Dynamics
-
responses over time. The AI model will be then used for providing personalised recommendations by rating food items as poor or healthy choices. Such regular and suggestive feedback using the strategy of
-
Your Job To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
-
Primary supervisor David Dowe Co-supervisors Michael Kamp Research area Machine Learning Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC
-
Support The research will investigate Explainable AI (XAI) to identify important clinical predictors and improve the interpretability of model predictions. Multimodal and temporal modelling approaches
-
Primary supervisor David Dowe Co-supervisors Michael Kamp Research area Machine Learning Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC
-
Support The research will investigate Explainable AI (XAI) to identify important clinical predictors and improve the interpretability of model predictions. Multimodal and temporal modelling approaches
-
to Do This project is not about building a standard disease-diagnosis model or simply improving classification accuracy on medical datasets. It is also not focused on replacing doctors, giving
-
to Do This project is not about building a standard disease-diagnosis model or simply improving classification accuracy on medical datasets. It is also not focused on replacing doctors, giving
-
. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and