Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Spain
- Sweden
- France
- Germany
- Italy
- Singapore
- Poland
- Portugal
- Belgium
- United Arab Emirates
- Denmark
- Australia
- Netherlands
- China
- Hong Kong
- Romania
- Worldwide
- Canada
- Croatia
- Ireland
- Greece
- Japan
- Malta
- Andorra
- Austria
- Bulgaria
- Lithuania
- Armenia
- Europe
- Finland
- India
- New Zealand
- Switzerland
- 25 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Mathematics
- Science
- Electrical Engineering
- Materials Science
- Business
- Chemistry
- Humanities
- Linguistics
- Physics
- Psychology
- Earth Sciences
- Environment
- Law
- Philosophy
- Social Sciences
- Arts and Literature
- Design
- Education
- Sports and Recreation
- 14 more »
- « less
-
22 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher
-
. Responsibilities Application of Domain Expertise: Maintain strong command of AI and machine learning concepts, including underlying science, math, and algorithms; stay current through reading publications, reviewing
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
-
oversee and develop algorithms for analyzing ensemble genomics data, single cell genomics data, single cell merFISH and sequential oligopaints imaging data, as well as novel molecular connectomics data
-
multimedia networks. IEEE Communications Magazine, 2013, vol. 51, no 6, p. 152-159. Work Plan Defence and Space, combining theoretical research, algorithm design, simulation, and experimental validation
-
evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
-
algorithms for enhanced sampling is essential to bridge length or time scales over many orders of magnitude. Comparison of our simulations with the experimental results of others [e.g., small-angle scattering
-
) with plenty of cultural and leisure activities. INTERESTED? How to apply You should apply via https://jobs.idlab.ugent.be/en/ph-d-hardware-aware-control-algorithms-for-robot-reflexes For more information
-
. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national