Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- Australia
- United Kingdom
- Netherlands
- Spain
- France
- Germany
- Sweden
- Belgium
- Canada
- Norway
- Portugal
- Austria
- United Arab Emirates
- China
- Denmark
- Finland
- Switzerland
- India
- Italy
- Poland
- Japan
- Ireland
- Hong Kong
- Morocco
- South Africa
- Luxembourg
- Brazil
- Saudi Arabia
- Czech
- Estonia
- Macau
- New Zealand
- Cyprus
- Romania
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Humanities
- Linguistics
- Materials Science
- Social Sciences
- Environment
- Earth Sciences
- Psychology
- Chemistry
- Sports and Recreation
- Philosophy
- Electrical Engineering
- Design
- Physics
- Statistics
- 15 more »
- « less
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
-series. Experience exploring machine learning and deep learning techniques for geospatial applications is highly desirable to effectively engage with Earth observation foundation models. Technical
-
involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation, as well as new measures of privacy and
-
. Knowledge of machine learning and deep learning for image and time series analysis; experience with cloud or high performance computing environments is an asset. Ability to communicate results clearly in
-
modelling (e.g., LSTMs) and deep generative/unsupervised anomaly detection techniques (e.g., VAEs). *Strong programming proficiency in Python and familiarity with standard data science and machine learning
-
Development of reproducible software tools and computational workflows for biomedical research Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes
-
custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Provide
-
the PORTUGAL2030 Programme, under the following conditions: Work Plan and Objectives to Reach: The work to be carried out aims at the research and development of Computer Vision and Machine/Deep Learning algorithms
-
instruments, and serving as a central liaison between the OGC, university departments, and external entities. The position demands high-level discretion, deep knowledge of institutional policies, and the
-
. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color
-
custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Deliver