Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Portugal
- Netherlands
- France
- Sweden
- Spain
- Denmark
- Singapore
- Belgium
- United Arab Emirates
- Italy
- Austria
- Poland
- Norway
- Finland
- Romania
- Australia
- Morocco
- China
- Luxembourg
- Switzerland
- Canada
- Japan
- Hong Kong
- Greece
- Brazil
- Croatia
- Cyprus
- Czech
- Malta
- Saudi Arabia
- Taiwan
- Bulgaria
- Ireland
- Israel
- Lithuania
- Andorra
- Armenia
- Estonia
- India
- New Zealand
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
-
in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
-
networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
-
programme Reference Number AE2025-0594 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0594
-
, the Robot Operating System (ROS), the Gazebo simulation environment, and multiple programming languages (e.g., Python, C++, Java) and Data Science, including designing algorithms; Experience with
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
-
and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
-
to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
-
algorithmic consequences. Topics of interest include coarse equivalents of classical graph theorems and parameters, asymptotic minors, and coarse embeddings; Where to apply E-mail job-ref-5sp0nv8qvb
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements