Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- Portugal
- United Kingdom
- Norway
- Singapore
- Italy
- Spain
- Netherlands
- Poland
- Belgium
- Denmark
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Ireland
- Canada
- Estonia
- Austria
- China
- Czech
- Hong Kong
- Worldwide
- Finland
- Japan
- Malta
- Greece
- India
- Morocco
- Switzerland
- Andorra
- Bulgaria
- Cyprus
- Saudi Arabia
- Slovakia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Chemistry
- Materials Science
- Earth Sciences
- Linguistics
- Humanities
- Business
- Social Sciences
- Physics
- Psychology
- Philosophy
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running
-
databases of more than 1 million records and nationwide hospital data sets for use in health services research and quality analyses. Create analytic files. Develop the standard statistical algorithms
-
work will be developed at the Department Mechanical Engineering of the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Lucas Filipe Martins da
-
• Produce research products such as well-documented algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some
-
Polytechnique de Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society
-
The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop
-
, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
-
positions in the interdisciplinary research environment “Culture and Society” to develop research on themes relevant to the thematic area “Digital Society, Infrastructure, Legacies”. This thematic area
-
or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database searching and
-
visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms