Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Germany
- Norway
- France
- Netherlands
- Denmark
- Belgium
- Hong Kong
- Australia
- Austria
- Poland
- Singapore
- Spain
- Switzerland
- China
- Italy
- Luxembourg
- Portugal
- Cyprus
- United Arab Emirates
- Canada
- Estonia
- Ireland
- Morocco
- Czech
- Finland
- Saudi Arabia
- Barbados
- Brazil
- Europe
- Iceland
- India
- Japan
- Lithuania
- New Zealand
- Taiwan
- Worldwide
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Psychology
- Humanities
- Chemistry
- Materials Science
- Linguistics
- Environment
- Education
- Social Sciences
- Business
- Earth Sciences
- Electrical Engineering
- Physics
- Arts and Literature
- Sports and Recreation
- Law
- 12 more »
- « less
-
systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
-
strong AI focus; a PhD is desirable, but not mandatory Advanced knowledge of machine learning, statistical modeling, and modern AI methodologies Strong programming skills, preferably in Python and common
-
recording. The work will also include developing new statistical data analysis tools for behavioral and neural data. More broadly, the postdoc will be part of a large and intellectually vibrant community
-
analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
-
infrastructure (e.g. Observatorio del Roque de los Muchachos) Hands-on training in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international
-
Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
-
mathematical foundations of data science, machine learning and/or artificial intelligence. Preference will be given to candidates studying either the application of data science/ML/AI to problems in
-
. Subject matter expertise for area(s) of responsibility. PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer tasks. Frequently sitting. Occasionally stand/walk, reach/work above shoulders, use a
-
Qualifications: Master's degree in Agricultural related field and at least 4 years related experience in program development, delivery, and management. A relevant PhD may substitute for two years’ experience
-
of Spanish (not required but valued for teaching and policy dissemination in Spain). Experience with AI-based research workflows, machine learning techniques applied to financial data, or modern