917 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Austria
- Germany
- United Kingdom
- Denmark
- Worldwide
- Spain
- India
- Canada
- France
- Mexico
- South Africa
- Hong Kong
- Switzerland
- Sweden
- Belgium
- Singapore
- Italy
- United Arab Emirates
- Australia
- Finland
- Luxembourg
- Netherlands
- Poland
- South Korea
- Argentina
- Barbados
- Guadeloupe
- Israel
- Japan
- Norway
- Portugal
- Taiwan
- Vietnam
- 24 more »
- « less
-
Field
-
Priorities: We seek applications across all AI domains, with emphasis on: Foundational AI : Machine Learning, Computer Vision, NLP, Robotics & Embodied Intelligence, Data Science. Interdisciplinary Frontiers
-
DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
abiotic resources. We integrate remotely sensed information with in-situ data, process-based models, and leverage satellite communication, IoT and machine learning technologies in order to provide evidence
-
Immunology, and to teach and mentor graduate students. Salary and academic rank are commensurate with experience; excellent benefits and highly competitive startup packages are offered. The CVHII is part of
-
to traverse genes and complete transcription, as well as those that abort this process by removing or destroying Pol II on genes e.g. https://doi.org/10.64898/2025.12.04.692291 ; https://doi.org/10.1016
-
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
-
of equal status are particularly welcome. Qualified candidates are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de ). The application can be submitted
-
in accordance with the IfSG before starting employment (currently: measles). General information on professorships, hiring processes, and the German academic system can be found here: https://uni
-
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 information, please visit
-
of medical 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
-
Development of innovative experimental model systems for mechanistic investigation and translational validation of microbiome-mediated processes Advanced AI and machine learning frameworks for integrative multi