900 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" uni jobs at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Austria
- Germany
- United Kingdom
- Denmark
- Spain
- Worldwide
- India
- Canada
- France
- Mexico
- South Africa
- Hong Kong
- Switzerland
- Sweden
- United Arab Emirates
- Belgium
- Singapore
- Italy
- Australia
- Finland
- Luxembourg
- Netherlands
- Poland
- South Korea
- Taiwan
- Argentina
- Barbados
- Guadeloupe
- Israel
- Japan
- Norway
- Portugal
- Vietnam
- 24 more »
- « less
-
Field
-
. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
-
to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https
-
-led comprehensive university through upholding the highest international standards of excellence in its research pursuits, scholarship, teaching and learning, and service to the community
-
. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
-
of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning
-
tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
-
at the forefront 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
-
the University Commission, UW invites applications for three (3) tenure-track Assistant/Associate Professor positions in applied artificial intelligence (AI), machine learning (ML), and advanced applications of AI
-
Tenure-Track Faculty Position in Microelectronics and Photonics (Teaching-Focused) The Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty of Engineering and Applied
-
management and visions for teaching and learning will be evaluated. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are