1,306 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff 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
-
. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
-
. Experience with applied computational methods and machine learning is preferred but not essential. Postdoctoral research experience is preferred but not essential. A thorough understanding of the fundamentals
-
see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
-
. Antonio Scialdone’s group at Helmholtz Munich, a leading European hub for AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models
-
. Applications are invited for Principal Investigator (PI) at Center for Life Sciences (http://www.cls.edu.cn/english/ ). As a pilot program of the National Plan for Education Development and Reform, Center
-
in the jobs section of the IRBLleida website (https://www.irblleida.org/en/jobs/) before the 31st of January 2026. To formalize their application, candidates must submit the following: Candidate’s CV
-
hypotheses. Develop, refine, and benchmark computational pipelines using statistical modeling, machine learning, and deep learning approaches. Conduct analytical validation studies including precision
-
and inclusive community in the practice and teaching of science. Successful candidates will be expected to establish a vibrant research program, teach graduate and undergraduate courses, and participate
-
for experimentation, yet they remain difficult to deploy directly onboard robots due to hardware availability, latency, sampling cost, and noise. Previous work on quantum machine learning (QML) emphasize
-
to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together