Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Australia
- Singapore
- United Kingdom
- France
- Germany
- Austria
- Sweden
- Belgium
- Netherlands
- Norway
- Spain
- Portugal
- Denmark
- Canada
- Italy
- United Arab Emirates
- Luxembourg
- China
- Switzerland
- Hong Kong
- India
- Ireland
- Finland
- Poland
- Czech
- Morocco
- New Zealand
- Cyprus
- Japan
- Lithuania
- Saudi Arabia
- Bulgaria
- Latvia
- Slovenia
- South Africa
- Andorra
- Armenia
- Barbados
- Brazil
- Europe
- Fiji
- Greece
- Kyrgyzstan
- Romania
- Taiwan
- Worldwide
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Science
- Engineering
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Materials Science
- Chemistry
- Linguistics
- Social Sciences
- Humanities
- Environment
- Sports and Recreation
- Earth Sciences
- Psychology
- Philosophy
- Electrical Engineering
- Design
- Physics
- Statistics
- 15 more »
- « less
-
: Required: • MSc (or equivalent) in: Computer Science, Cybersecurity, Machine Learning, or related field • Strong background in: machine learning / deep learning, mathematics (probability, linear algebra
-
- Knowledge of mathematical probability and statistics, and optimization methods - Knowledge of machine learning, including supervised and unsupervised learning, deep learning, and model evaluation - Knowledge
-
supervised and unsupervised learning, deep learning, and model evaluation - Knowledge of dataset biases, and labeling issues - Knowledge of AI model building - Knowledge of translating
-
in legal education and scholarship with a deep commitment to justice. Here at Harvard Law School (HLS), you’ll find an environment that values who you are and encourages you to grow, inspire others
-
reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
-
advancement of the research of deep neural networks, in the field of adaptive processing of graph data (Deep Graph Learning). The project includes the following strongly interconnected fundamental research
-
We seek a specialist in Early Modern art to teach courses on European art between 1300 and 1700. The successful candidate will teach 3 courses/semester and have the capacity to work with studio-art and
-
learning. A record of contributing to building and maintaining effective and productive links locally and nationally with the discipline, profession and wider community. Tasmanian Working with Vulnerable
-
across the university. The RAD Collaboratory will be comprised of different research areas, each led by a faculty area lead. The vision of the RAD Collaboratory is “Deep Learning, Deep Connections
-
Operations, Storrs Campus Salary Range: $66,517.00-$85,519.00 Yearly. Individuals new to state service start at the minimum of the pay plan. Link to Water Pollution Control Operator Job Specification: https