Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Netherlands
- France
- Norway
- Denmark
- Spain
- United Kingdom
- Austria
- Poland
- Belgium
- Switzerland
- Portugal
- Luxembourg
- China
- Czech
- Finland
- Singapore
- Canada
- Ireland
- Italy
- Saudi Arabia
- Brazil
- Cyprus
- Lithuania
- Romania
- Slovenia
- Hong Kong
- Morocco
- United Arab Emirates
- Andorra
- Bulgaria
- Estonia
- Greece
- Japan
- Taiwan
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Chemistry
- Materials Science
- Mathematics
- Earth Sciences
- Environment
- Psychology
- Linguistics
- Physics
- Electrical Engineering
- Arts and Literature
- Business
- Humanities
- Education
- Law
- Design
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
-
and refined our pioneering AI-driven methods. This project focuses on improving protein structure prediction, design, quality assessment, and dynamics using innovative machine learning techniques. You
-
methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data
-
clustering, redshift-space distortions, weak/strong gravitational lensing, and artificial intelligence/machine learning (AI/ML). The observational focus is on optical sky surveys (DES, DESI, Roman, Rubin Obs
-
meet the specialized behavioral demands of different animals. More information about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We
-
citation record must be focused on AI; or alternatively (B), machine learning engineers with an AI-focused PhD and demonstrated 2-year industry experience in AI development Applicants must have in-depth
-
-analysis, regression modelling, machine learning). You have a solid basis in at least one common high-level programming language (e.g. R, Python). You enjoy collaborative research in international
-
, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine learning and deep learning Experience with modern NLP methods, including transformer models
-
environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
-
- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with