Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- University of Washington
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- Stony Brook University
- University of Bergen
- University of North Carolina at Chapel Hill
- Academia Sinica
- Argonne
- DePaul University
- George Washington University
- KINGS COLLEGE LONDON
- Nature Careers
- RIKEN
- Technical University of Munich
- The University of Arizona
- University of Central Florida
- Université Claude Bernard Lyon 1
- Aalborg Universitet
- Bocconi University
- CISPA Helmholtz Center for Information Security
- CNRS
- ERATOSTHENES CENTRE OF EXCELLENCE
- ETH Zürich
- Eastern Kentucky University
- Forschungszentrum Jülich
- Indiana University
- Institute for bioengineering of Catalonia, IBEC
- King's College London
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Texas A&M University
- The Ohio State University
- UNIVERSITY OF ADELAIDE
- Universidade do Minho - ISISE
- University of Adelaide
- University of California Berkeley
- University of Electronic Science and Technology of China (UESTC)
- University of Luxembourg
- University of Massachusetts
- University of Turku
- Vrije Universiteit Brussel
- Wageningen University & Research
- 35 more »
- « less
-
Field
-
of application development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). A record of productive and creative research as proven by
-
on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision
-
cluster. The successful candidate will conduct research under multiple Eratosthenes Centre of Excellence projects funded by the European Union, including the flagship Excelsior H2020 Teaming project (https
-
technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices
-
large quantities of data to gain a greater understanding of our systems and develop data analytics and artificial intelligence algorithms. You will be actively engaged in the research and development
-
Engineering, Aerospace Engineering, or a related field. Degree must be conferred upon hire. Preferred Qualifications Applied expertise in optimal control, heuristic optimization, graph search algorithms, and
-
algorithms, and machine learning to solve complex aerospace engineering challenges. Developed and implemented AI-driven solutions for autonomous lunar and asteroid landings, as well as cislunar operations
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever-changing and fast-paced sector. The position is funded by CAR, a
-
the analysis of multimodal spatial omics data across multiple projects, collaborating closely with experimental biologists. Main tasks and responsibilities: Develop and implement robust computational pipelines