Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- Canada
- Denmark
- United Arab Emirates
- Poland
- Spain
- Belgium
- Finland
- Netherlands
- Switzerland
- China
- Hong Kong
- Luxembourg
- Singapore
- Morocco
- Australia
- Austria
- Ireland
- Italy
- Saudi Arabia
- Taiwan
- Japan
- Romania
- Brazil
- Cyprus
- Estonia
- Greece
- India
- New Zealand
- Portugal
- Andorra
- Barbados
- Czech
- Europe
- Lithuania
- Mexico
- Slovenia
- South Africa
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Humanities
- Earth Sciences
- Education
- Materials Science
- Environment
- Law
- Physics
- Social Sciences
- Linguistics
- Business
- Electrical Engineering
- Arts and Literature
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
Union within the project “A Comprehensive Trustworthy Framework for Connected Machine Learning and Secure Interconnected AI Solutions (CoEvolution)”, - CUP F23C24000210006 – selection code: ipd_10D_0426_09/IINF
-
: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: A postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof
-
data analysis is required. The lab mostly uses R for data analyses; knowledge of R is not required, and the postdoctoral scholar will have the opportunity for mentorship and learning. To Apply: Motivated
-
at other institutions. The International Union, United Automobile, Aerospace and Agricultural Implement Workers of America (UAW) is the exclusive representative of the postdoctoral scholars. https
-
. Description: The Postdoctoral Fellow will work with a team of world-class collaborators on the JWST Cycle 1 GO Program 2512 (https://www.stsci.edu/jwst/science-execution/program-information.html?id=2512
-
machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data
-
approaches Applying statistical modeling, causal inference, and machine learning approaches to identify determinants of developmental robustness Applying causal inference approaches to identify critical
-
(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
-
on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
-
experimental data. Develop computational frameworks for integrating spatial and bulk multi-omics datasets. Create and apply statistical and machine learning models for feature extraction, data harmonisation, and