Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Washington
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Oak Ridge National Laboratory
- Stanford University
- University of North Carolina at Chapel Hill
- Argonne
- DePaul University
- Technical University of Munich
- University of Central Florida
- University of Minnesota
- AALTO UNIVERSITY
- Aalborg Universitet
- Aalborg University
- Eastern Kentucky University
- Forschungszentrum Jülich
- Imperial College London
- Indiana University
- Los Alamos National Laboratory
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Missouri University of Science and Technology
- NEW YORK UNIVERSITY ABU DHABI
- Pennsylvania State University
- SUNY University at Buffalo
- Stony Brook University
- Technical University of Denmark
- Texas A&M University
- The Ohio State University
- University of California Davis
- University of Electronic Science and Technology of China (UESTC)
- University of Massachusetts
- University of Oklahoma
- University of Oslo
- University of Virginia
- Vrije Universiteit Brussel
- Western Norway University of Applied Sciences
- 26 more »
- « less
-
Field
-
healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
-
will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
-
(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
-
to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and algorithms. We will focus
-
: Employing satellite observation and machine leaning to improve model representation of ice sheet surface melt”. The candidate will work under the direction of Prof Nowicki and in collaboration with multiple
-
. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
-
approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
-
that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model