936 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" 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
- Belgium
- Singapore
- Italy
- United Arab Emirates
- Australia
- Finland
- Luxembourg
- Netherlands
- Poland
- South Korea
- Argentina
- Barbados
- Guadeloupe
- Israel
- Japan
- Norway
- Portugal
- Taiwan
- Vietnam
- 24 more »
- « less
-
Field
-
, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
-
management. Demonstrated experience in one or more applied computational fields: application of modern machine learning methodology, algorithms, computational modeling, finite element analysis, computational
-
(overseas). https://www.nsfc.gov.cn/publish/portal0/tab948/info91706.htm Remuneration and Welfare Guarantee Successful applicants of the Excellent Young Scientists Fund (overseas) may apply for tenured and
-
establish independent research groups at FIMM and contribute to the development and application of cutting-edge statistical and machine learning methods in molecular medicine and population health. This group
-
strong background in optimization and machine learning. Good coding skills in Python, PyTorch are welcomed. Application Applications should contain a CV, a motivation letter, the grade records of the last
-
neuroimaging or behavioral studies, and strong communication skills. Additional expertise in computational neuroscience and data analysis, particularly using machine learning approaches, is highly desirable
-
funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative, visit here . About the role: We are seeking a highly motivated Research
-
, collaborative science Experience with tools for qualitative and quantitative analysis; experience and practice with machine learning and Artificial Intelligence are also considered assets Language requirements
-
, immersive learning environment, and interdisciplinary collaboration across the natural and social sciences, engineering, and policy. DUML fosters a close-knit, hands-on academic community and offers
-
administrator, an accomplished scholar, a dedicated faculty mentor, a thoughtful colleague, and a true advocate for student learning and development. The dean will have the disposition to nurture and enhance