Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Germany
- France
- Netherlands
- Sweden
- Spain
- Denmark
- Singapore
- Poland
- Belgium
- United Arab Emirates
- Italy
- Austria
- Norway
- Finland
- Australia
- Romania
- China
- Morocco
- Switzerland
- Canada
- Luxembourg
- Greece
- Japan
- Hong Kong
- Croatia
- Brazil
- Cyprus
- Estonia
- Czech
- Malta
- Taiwan
- Bulgaria
- Ireland
- Israel
- Lithuania
- Saudi Arabia
- Andorra
- Armenia
- India
- New Zealand
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Mathematics
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Electrical Engineering
- Chemistry
- Earth Sciences
- Business
- Linguistics
- Humanities
- Physics
- Arts and Literature
- Environment
- Psychology
- Law
- Education
- Philosophy
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
The Marketing group at Rotterdam School of Management, Erasmus University seeks a highly motivated PhD student with strong quantitative skills to study the problem of algorithmic biases in marketing. As machines
-
University of Zagreb, Faculty of Electrical Engineering and Computing | Croatia | about 2 months ago
for a limited period of 2 years, in order to carry out research on the project "“Algorithms of Efficient Biomedical Time Series Analysis”. Working conditions and other details can be found on the Web page
-
Polish or English, in particular in algorithmics, artificial intelligence, programming or numerical methods; Communicative command of Polish. Availability. Obtaining a grant, scientific or educational
-
education area that is central to tomorrow’s computing systems. You will lead a research group with strong expertise in algorithms, computational models, software engineering, and resource-efficient
-
on the NCN website: https://projekty.ncn.gov.pl/opisy/620203-en.pdf The project is interdisciplinary, combining field studies, environmental observations, laboratory analyses, and computational data-processing
-
algorithmic breakthroughs that enable foundation models to run predictably and efficiently on embedded processors and accelerators. FIND is a research program funded by the Dutch government and industry
-
and implementation of parton-shower algorithms and their matching to higher-order pertubative computations in Quantum Chromodynamics. Additionally the analyses of the results in the context of the LHC
-
Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
-
optimization methods for implementation within the framework of the objectives of the doctoral thesis, starting with the exploration of methods based on genetic algorithms. Explore the possibilities
-
research on AI/ML methods for accelerating integrated circuit (IC) design. * Participate in the deployment and testing of AI/ML-driven IC design algorithms to both open-source and industry-standard CAD tools