901 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Austria
- Germany
- United Kingdom
- Spain
- Worldwide
- India
- Denmark
- France
- Canada
- Mexico
- Hong Kong
- South Africa
- Switzerland
- Sweden
- Belgium
- Italy
- Singapore
- Australia
- Luxembourg
- United Arab Emirates
- Finland
- Netherlands
- Poland
- South Korea
- Argentina
- Barbados
- Cambodia
- Guadeloupe
- Israel
- Japan
- Norway
- Portugal
- Taiwan
- Vietnam
- 25 more »
- « less
-
Field
-
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
-
will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
-
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
-
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
-
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
-
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
-
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
-
Severely disabled applicants with equal aptitude will be given preferential consideration. Full-time positions are generally divisible. The university and what we offer: https://www.uni-ulm.de/en
-
strong commitment to engaging students in inquiry-based learning at both undergraduate and postgraduate levels; and (iv) a strong track record of high-quality research as indicated by publication records
-
, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7