1,300 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Austria
- Germany
- Denmark
- United Kingdom
- France
- Worldwide
- Spain
- India
- Canada
- Belgium
- Mexico
- Sweden
- South Africa
- Hong Kong
- Switzerland
- Luxembourg
- United Arab Emirates
- Italy
- Singapore
- Australia
- Finland
- Netherlands
- Ireland
- Japan
- Norway
- Poland
- South Korea
- Taiwan
- Turkey
- Argentina
- Barbados
- Czech Republic
- Guadeloupe
- Israel
- Portugal
- Vietnam
- 27 more »
- « less
-
Program
-
Field
-
, paid time off (holidays, PTO, short-term medical and long-term disability), and more. Details about UCAR's benefits can be found at: https://www.ucar.edu/opportunities/careers/benefits . The position is
-
Job Description Join the Zhou lab ProteinPaint team (https://proteinpaint.stjude.org/team/) to contribute to the development of an open-source platform for biomedical data visualization, analysis
-
other applications of microfabricated circuits, transducers and systems. The group [https://www.nist.gov/pml/microsystems-and-nanotechnology-division/photonics-and-optomechanics-group ] offers a highly
-
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
-
2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
-
to Dr. Divij Verma at Divij.verma@einsteinmed.edu Closing Applications will be accepted on a rolling basis until the position is filled. For more information about our work, visit https
-
| Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.03.2032 Reference no.: 5115 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique
-
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
-
regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is March 25, 2026. Please apply
-
. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy