1,341 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Austria
- Germany
- Denmark
- United Kingdom
- France
- Worldwide
- India
- Spain
- Belgium
- Canada
- Sweden
- Mexico
- South Africa
- Hong Kong
- Switzerland
- Luxembourg
- Italy
- Singapore
- United Arab Emirates
- Australia
- Finland
- Netherlands
- Ireland
- Japan
- Norway
- Poland
- South Korea
- Turkey
- Argentina
- Barbados
- Czech Republic
- Guadeloupe
- Israel
- Portugal
- Taiwan
- Vietnam
- 27 more »
- « less
-
Program
-
Field
-
design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses
-
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
-
About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
-
Lavis Lab, please visit https://www.janelia.org/lab/lavis-lab About the role: In this role, you will support the vision of Open Chemistry by designing and synthesizing fluorescent dyes and other small
-
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
-
recognition, and enable seamless collaboration between humans and machines. Long-Term Human-Technology Evolution: investigate the longitudinal impact of human-technology interaction on learning, behavior, and
-
visiting https://kinglab.berkeley.edu/ . About the LART role: You will provide administrative and technical support to the Investigator and laboratory staff in the King Lab at UC Berkeley, which studies
-
cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
-
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