Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Portugal
- Spain
- Singapore
- Italy
- Norway
- Netherlands
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- China
- Hong Kong
- Ireland
- Canada
- Finland
- Czech
- Estonia
- Japan
- Worldwide
- Austria
- Bulgaria
- Cyprus
- Malta
- Greece
- India
- Morocco
- Switzerland
- Andorra
- Brazil
- Saudi Arabia
- Slovakia
- Armenia
- Croatia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
-
Ecole Polytechnique and CNRS, hosted by the Center for Applied Mathematics (CMAP) of Ecole Polytechnique. The Platon project-team focuses on developing innovative methods and algorithms for uncertainty
-
on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
-
on network behavior; 5) knowledge of computer network modeling; 6) familiarity with issues related to autonomous vehicles of the AGV type; 7) knowledge of signal regulation algorithms, such as fractional order
-
successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment
-
, assess, and improve results and methods. Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data. Document code and analytic approaches
-
the state of the art and designing key scientific and technological enablers of future cellular networks to integrate sensing and communications. To this end, he/she will design new models and algorithms
-
candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
-
and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
-
. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We