Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Singapore
- Australia
- Germany
- Spain
- Sweden
- Netherlands
- France
- Portugal
- United Arab Emirates
- Austria
- Denmark
- Norway
- Canada
- Ireland
- Belgium
- Switzerland
- China
- Czech
- Italy
- Morocco
- Finland
- Hong Kong
- Romania
- Luxembourg
- Japan
- Poland
- South Africa
- India
- Cyprus
- New Zealand
- Saudi Arabia
- Taiwan
- Armenia
- Brazil
- Croatia
- Estonia
- Latvia
- Lithuania
- Malta
- Vietnam
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Arts and Literature
- Mathematics
- Social Sciences
- Materials Science
- Humanities
- Earth Sciences
- Law
- Environment
- Psychology
- Chemistry
- Linguistics
- Electrical Engineering
- Sports and Recreation
- Design
- Philosophy
- Physics
- 14 more »
- « less
-
algorithms and routines for image processing, image reconstruction and enhancement, deep learning model training and inference, explainability/visualization, and statistical analysis of AI performance. Conduct
-
. Through continuous structural monitoring systems Through continuous structural monitoring systems and artificial intelligence algorithms (machine and deep learning, hybrid physical-data driven methods
-
Experience in programming, expertise in software for handling big data, with a special emphasis on deep learning methods, and especially language models. 30% Complementary Training Having knowledge of software
-
develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer
-
criteria Experience in writing documentation on the topic of Deep Learning Website for additional job details https://www.utcluj.ro/media/jobs/2025/DOC154_GAlboYR.pdf Work Location(s) Number of offers
-
University of California San Francisco | San Francisco, California | United States | about 15 hours ago
about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation
-
. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
-
for this position is $167,800 - $251,700 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
-
CORE A*/A conference paper. We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s
-
Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied