Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Bowdoin College
- University of North Carolina at Chapel Hill
- Technical University of Munich
- Carnegie Mellon University
- Oak Ridge National Laboratory
- Technical University of Denmark
- Texas A&M University
- University of Oxford
- Georgia Southern University
- Nature Careers
- New York University
- Northeastern University
- Rutgers University
- University of Nevada Las Vegas
- Cornell University
- National Renewable Energy Laboratory NREL
- Stanford University
- Stony Brook University
- The University of Arizona
- University of Antwerp
- University of Texas at Dallas
- ;
- Aalborg University
- Aarhus University
- European Space Agency
- INSAIT - The Institute for Computer Science
- Leibniz
- Medical College of Wisconsin
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- SciLifeLab
- William and Mary
- Argonne
- Baylor University
- Brookhaven Lab
- Chalmers University of Technology
- Duke University
- Durham University
- Heidelberg University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Leiden University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- The Ohio State University
- UNIVERSITY OF VIENNA
- Umeå University
- University of British Columbia
- University of Central Florida
- University of Cincinnati
- University of Colorado
- University of Florida
- University of Kansas Medical Center
- University of Liverpool
- University of London
- University of Lund
- University of Maine
- University of Nevada, Reno
- University of Southern Denmark
- University of Texas at Arlington
- University of Tübingen
- Yale University
- 52 more »
- « less
-
Field
-
learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
-
planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and manipulation strategy adaptation Real-world
-
, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
-
neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
-
-reviewed publications. Prior experience with biological network analysis and practical application of a variety of machine learning and computer vision techniques is preferred. The successful candidate will
-
(model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion) in computer vision or robotics or biomedical image analysis. Knowledge
-
-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
-
Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
-
. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
-
relations and in interaction with organizations, to gain insight into computer-mediated communication, its applications and effects, and to pursue evidence-based communication strategies, instruments and