Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Austria
- United Kingdom
- Germany
- Canada
- Singapore
- Norway
- Belgium
- Netherlands
- Sweden
- Australia
- United Arab Emirates
- Spain
- Luxembourg
- Denmark
- India
- Switzerland
- China
- Finland
- Czech
- Italy
- Morocco
- Poland
- Romania
- South Africa
- Barbados
- Europe
- Hong Kong
- Japan
- New Zealand
- Portugal
- Saudi Arabia
- Worldwide
- 24 more »
- « less
-
Program
-
Field
-
. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
-
We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
-
) position Salary range $70,000 – $85,000 Two roles available Kia hiwa rā, kia hiwa rā! He hiahia, he pūkenga nōu ki te mahi a te Postdoctoral Fellow? Nāia te pōwhiri nā Te Whare Wānanga o Waitaha kia tono mai
-
, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
-
terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and
-
or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
-
University More Jobs from This Employer https://main.hercjobs.org/jobs/22002385/x5b-eoi-x5d-x5b-spring-2026-x5d-postdoctoral-associate-x7c-center-for-data-science Return to Search Results
-
Project Overview We are hiring highly motivated and talented Postdoctoral Associates who are interested in advancing the state of the art in resource-efficient machine learning at the Singapore-MIT
-
science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
-
machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting-edge technical research that will transform current AI paradigms, bring about deep understanding of AI