Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Norway
- Germany
- Denmark
- France
- Netherlands
- Spain
- Austria
- United Kingdom
- Belgium
- Poland
- Luxembourg
- China
- Portugal
- Singapore
- Switzerland
- Finland
- Canada
- Italy
- Czech
- Romania
- Saudi Arabia
- Cyprus
- Ireland
- Lithuania
- Worldwide
- Brazil
- Slovenia
- United Arab Emirates
- Andorra
- Bulgaria
- Hong Kong
- Japan
- Latvia
- Taiwan
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Mathematics
- Chemistry
- Humanities
- Materials Science
- Linguistics
- Earth Sciences
- Education
- Environment
- Physics
- Psychology
- Electrical Engineering
- Arts and Literature
- Business
- Law
- Design
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
intelligence/machine learning skills. The candidate’s research proposal must be closely connected to the call and the research of NCEI. Excellent skills in written and oral English. Personal suitability and
-
Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
-
software related to the medical field Experience of specific software and programming languages, specifically ones suitable for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and
-
. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/357285/postdoc-reinforcement-learning-… Requirements Additional Information Website
-
Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. For more information about AMBER, visit: https
-
following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive
-
Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and