Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Norway
- Germany
- France
- Netherlands
- Denmark
- Belgium
- Hong Kong
- Austria
- Poland
- Singapore
- Australia
- Spain
- Switzerland
- Estonia
- Portugal
- China
- Italy
- Luxembourg
- United Arab Emirates
- Canada
- Cyprus
- Czech
- Ireland
- Finland
- Morocco
- Saudi Arabia
- Barbados
- Brazil
- Europe
- Iceland
- India
- Japan
- Lithuania
- New Zealand
- Taiwan
- Worldwide
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Humanities
- Materials Science
- Chemistry
- Linguistics
- Arts and Literature
- Education
- Environment
- Business
- Earth Sciences
- Electrical Engineering
- Physics
- Social Sciences
- Sports and Recreation
- Law
- 12 more »
- « less
-
Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models
-
The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop
-
student in this project, you will contribute to the development of new models and methods in machine learning for D-MIMO integrated sensing. This includes working with large amounts of data generated by a
-
for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
-
complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
-
laboratories, universities, and other organizations in the Chicago area. The School of Computing has several centers of excellence, including Big Data, Cloud Infrastructure, and High-Performance Computing
-
and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and
-
to a positive performance evaluation. Keywords: Atomic physics, Simulations, Rydberg Atoms, Many-body quantum physics, Quantum information theory, quantum computing, artificial intelligence, machine
-
of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
-
to the development of new models and methods in machine learning for D-MIMO integrated sensing. This includes working with large amounts of data generated by a unique D-MIMO testbed at Lund University, extending