Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Portugal
- Spain
- Italy
- Norway
- Singapore
- Netherlands
- Poland
- Belgium
- Denmark
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- China
- Ireland
- Canada
- Hong Kong
- Estonia
- Austria
- Czech
- Finland
- Japan
- Worldwide
- Bulgaria
- Malta
- Greece
- India
- Morocco
- Switzerland
- Andorra
- Brazil
- Croatia
- Cyprus
- Saudi Arabia
- Slovakia
- Armenia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Earth Sciences
- Materials Science
- Chemistry
- Linguistics
- Business
- Humanities
- Social Sciences
- Physics
- Psychology
- Arts and Literature
- Environment
- Philosophy
- Education
- Design
- Law
- Sports and Recreation
- 14 more »
- « less
-
to be essential. Certain conflicting objectives then arise (computation time, optimality of the solution, design and implementation time of the algorithm used, etc.). For the engineering researcher, who
-
development of post-graduate students. Particular attention will be given to candidates with experience in topics that are relevant to data science, most notably mathematical and algorithmic foundation
-
chain management and the potential applications of data-driven methodologies and algorithms.• You can do independent research (demonstrated, e.g., by an excellent MSc thesis).• You have excellent command
-
, quantum computing algorithms/architectures, applications of quantum computing; or 2. Quantum photonic integrated circuits. Candidates must hold a Ph.D. in Electrical Engineering, Computer Science, Physics
-
. Wallace (1996). MML estimation of the parameters of the spherical Fisher Distribution. In S. Arikawa and A. K. Sharma (eds.), Proc. 7th International Workshop on Algorithmic Learning Theory (ALT'96
-
, and shape a new direction in quantum-omics integration. Your responsibilities will include: Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi
-
to the fundamentals and algorithms of spatially and time-multiplexed oscillator-network computing. Duties The PhD student will focus on the fundamentals and algorithms for spatially and time-multiplexed oscillator
-
-guided) Evolutionary trajectory analysis and fitness landscape modeling Integration of predictive algorithms with experimental iteration cycles High-throughput screening and selection platform development
-
associate will participate in the design and implementation of the reference data model to ensure simulation system interoperability. Additionally, they will develop AI algorithms and multi-criteria
-
, retrieval algorithm, applications in hydrology) and will benefit from their knowledge and experience on the mission. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5126-ARNMIA-005