Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Australia
- Singapore
- Germany
- Spain
- Sweden
- Netherlands
- France
- United Arab Emirates
- Portugal
- Austria
- Denmark
- Norway
- Canada
- Ireland
- Belgium
- Switzerland
- China
- Finland
- Czech
- Italy
- Morocco
- Hong Kong
- Romania
- Luxembourg
- Japan
- Poland
- South Africa
- India
- Cyprus
- New Zealand
- Saudi Arabia
- Taiwan
- Armenia
- Brazil
- Croatia
- Estonia
- Lithuania
- Malta
- Vietnam
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Arts and Literature
- Mathematics
- Social Sciences
- Humanities
- Materials Science
- Earth Sciences
- Psychology
- Environment
- Law
- Linguistics
- Chemistry
- Electrical Engineering
- Sports and Recreation
- Philosophy
- Design
- Physics
- 14 more »
- « less
-
business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
-
of deep neural networks in the field of adaptive processing of graph data (Deep Graph Learning) . The developed novel approaches will be applied to case studies in bioinformatics Requirements Additional
-
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
-
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
-
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
-
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
-
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
-
) Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data Establishment of a data processing pipeline for the efficient
-
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
-
microfluidics, nano-electronics, nano-biomaterials, big data, and deep learning. Applicants must hold an M.D., Ph.D., or equivalent degree and have extensive postdoctoral experience, along with a strong