Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- Australia
- United Kingdom
- Netherlands
- Spain
- France
- Germany
- Sweden
- Belgium
- Canada
- Norway
- Portugal
- Austria
- United Arab Emirates
- China
- Denmark
- Finland
- India
- Switzerland
- Italy
- Poland
- Japan
- Ireland
- Hong Kong
- Morocco
- South Africa
- Luxembourg
- Brazil
- Saudi Arabia
- Czech
- Estonia
- Macau
- New Zealand
- Cyprus
- Romania
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Humanities
- Linguistics
- Materials Science
- Social Sciences
- Environment
- Earth Sciences
- Psychology
- Chemistry
- Sports and Recreation
- Philosophy
- Electrical Engineering
- Design
- Physics
- Statistics
- 15 more »
- « less
-
recreational attractions. The Iowa City area is often ranked as one of the most livable communities in the nation (Livability.com). To learn more about our great community visit https://livability.com/ia/iowa
-
, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
-
Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We
-
AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 11 hours ago
(e.g. geometric deep learning, generative models, representation learning) to decode molecular physiology, pathology, and therapeutic design? Are you passionate about high-throughput biology and scalable
-
intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
-
the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past
-
coworkers in the methodologies. Required Qualifications: • Master’s Degree in Biomedical Engineering/Computer Science/Neuroimaging • Strong understanding of machine learning, deep learning for biomedical
-
archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
-
custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Use your
-
-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and functional evolution