Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Arab Emirates
- Sweden
- United Kingdom
- Denmark
- Netherlands
- Morocco
- Germany
- Finland
- France
- Norway
- Poland
- Belgium
- Australia
- Canada
- Ireland
- Luxembourg
- Austria
- China
- Japan
- Portugal
- Spain
- Switzerland
- Hong Kong
- Taiwan
- Cyprus
- Singapore
- Slovenia
- Brazil
- Iceland
- Israel
- Mexico
- South Africa
- 23 more »
- « less
-
Field
-
) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
-
Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
-Neptunes and gas giants (3 years). Developing next-generation techniques for atmospheric characterization through retrievals with machine learning, including techniques such as simulation-based inference
-
properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
-
cognitive, clinical, genetic, and proteomic data and manages them in the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces
-
one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases
-
technology. We are located on LTH's campus in northern Lund. At the Division of Electromagnetics and Nanoelectronics within the Department, we develop and study new generations of electronics based on advanced
-
and application of novel AI, machine learning, and statistical methods for biomedical and health data. The candidate will engage in both independent and collaborative research, driving innovative
-
in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications Experience in
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
Earth observation (EO) data from NASA with state-of-the-art machine learning, we can produce a more accurate, dynamic, and actionable measure of wildfire risk. Project Goals and Objectives The primary
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in