Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- University of Central Florida
- DePaul University
- Stanford University
- University of North Carolina at Chapel Hill
- Argonne
- Oak Ridge National Laboratory
- Stony Brook University
- Duke University
- Los Alamos National Laboratory
- Pennsylvania State University
- SciLifeLab
- Technical University of Denmark
- Technical University of Munich
- Texas A&M University
- University of Massachusetts
- University of Miami
- University of Oklahoma
- University of Oslo
- University of Texas at Arlington
- University of Virginia
- University of Washington
- Western Norway University of Applied Sciences
- 14 more »
- « less
-
Field
-
be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
-
functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
-
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 investigate innovative solutions using machine learning algorithms and predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one
-
analysis techniques. About Lennox-Gastaut Syndrome: Lenox-Gastaut Syndrome is a severe form of epilepsy that often involves a combination of multiple seizure types, resulting in significant cognitive and
-
data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with organizing large scale multimodal neuroimaging datasets, brain
-
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
-
within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
-
Engineering is seeking a highly motivated Postdoctoral Scholar to contribute to cutting-edge research in the development of Machine Learning and Artificial Intelligence (ML/AI) algorithms tailored for Space
-
. 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