Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Cornell University
- Nanyang Technological University
- Pennsylvania State University
- University of British Columbia
- Duke University
- University of Texas at Austin
- Oak Ridge National Laboratory
- The University of Chicago
- ;
- Johns Hopkins University
- Northeastern University
- Princeton University
- Stony Brook University
- University of Bergen
- University of California, San Diego
- Carnegie Mellon University
- Monash University
- National University of Singapore
- Stanford University
- University of Colorado
- University of Oslo
- Florida International University
- NIST
- University of Central Florida
- University of North Carolina at Chapel Hill
- ETH Zurich
- European Space Agency
- Harvard University
- NEW YORK UNIVERSITY ABU DHABI
- SUNY University at Buffalo
- Technical University of Denmark
- University of Alabama at Birmingham
- Cranfield University
- DAAD
- DePaul University
- Forschungszentrum Jülich
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Marquette University
- Technical University of Munich
- The Ohio State University
- University of California Davis
- University of Cincinnati
- University of Florida
- University of Illinois at Urbana Champaign
- University of Massachusetts Medical School
- University of Nebraska–Lincoln
- University of Southern California (USC)
- University of Virginia
- Vrije Universiteit Brussel
- ; Newcastle University
- ; The University of Manchester
- Argonne
- Ball State University
- Cedars Sinai Medical Center
- Columbia University
- Florida Atlantic University
- George Mason University
- Imperial College London
- KINGS COLLEGE LONDON
- Rochester Institute of Technology
- Singapore Institute of Technology
- Temple University
- Texas A&M AgriLife Extension
- Texas A&M University System
- UNIVERSITY OF SOUTHAMPTON
- University of Adelaide
- University of California
- University of California, Merced
- University of California, San Francisco
- University of Copenhagen
- University of Dayton
- University of Glasgow
- University of Maryland
- University of Maryland, Baltimore
- University of Pittsburgh
- University of Sheffield
- University of Southern California
- University of Southern Denmark
- University of Texas at Dallas
- University of Toronto
- University of Washington
- Western Norway University of Applied Sciences
- William and Mary
- Yale University
- Zintellect
- ; University of Cambridge
- ; University of Sheffield
- ; University of Southampton
- AALTO UNIVERSITY
- AIT Austrian Institute of Technology
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aalborg University
- AbbVie
- Arizona State University
- Australian National University
- Babson College
- Barnard College
- Bellevue College
- California Baptist University
- 90 more »
- « less
-
Field
-
motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global
-
dialogue on AI governance. Manage multiple projects simultaneously, ensuring timelines are met and resources are effectively allocated. Collaboration & Knowledge Exchange Collaborate with policymakers
-
techniques which have traditionally been employed. As artificial intelligence becomes increasingly ingrained in the society, it is crucial to ensure that the machine learning algorithms not only make correct
-
variants, geometric algorithms like spline approaches, and optimisation-based planners. Motion planning is especially challenging for environments with multiple paths and narrow passages and for systems
-
University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
-
collaboration in optimising data analysis algorithms for the raw detector data, including improving position reconstruction and pulse-shape discrimination algorithms which can be implemented on in the front-end
-
About This Role The Resource Demand Forecasting Lead will be responsible for managing and forecasting resource needs across multiple functions in our Quantitative Sciences and Development Operations
-
the campus, empowering users to leverage data in a way that enhances institutional effectiveness. Furthermore, the RPA will apply a social justice framework when developing algorithms, creating data structures
-
validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
-
responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running