Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- France
- Germany
- Belgium
- Poland
- China
- Austria
- Spain
- Australia
- Canada
- Netherlands
- Hong Kong
- Denmark
- Singapore
- Italy
- India
- Portugal
- Czech
- Latvia
- Cyprus
- Ireland
- Luxembourg
- Andorra
- Lithuania
- South Africa
- Bulgaria
- Estonia
- New Zealand
- United Arab Emirates
- Armenia
- Norway
- Saudi Arabia
- Switzerland
- Barbados
- Croatia
- Europe
- Greece
- Japan
- Malta
- Morocco
- Slovenia
- Worldwide
- 34 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Mathematics
- Business
- Social Sciences
- Arts and Literature
- Psychology
- Education
- Humanities
- Chemistry
- Linguistics
- Electrical Engineering
- Materials Science
- Environment
- Physics
- Design
- Earth Sciences
- Sports and Recreation
- Philosophy
- Law
- 14 more »
- « less
-
. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be offered in Polish and/or English Academic organizational
-
Vision, Machine Learning and Aritificial Intelligence, and Human-Centered Computing. RESPONSIBILITIES Applicants will have an adequate level of teaching experience, have published high-quality papers in
-
project management. Areas of expertise in Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition
-
contributions as a software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including
-
systems, copilots, AI assistants, no-code/low-code AI tools). Understanding of AI system deployment concepts and practical constraints relevant to business environments. Familiarity with machine learning
-
research spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining, and applications of Computer Science. Together, the programs prepare students for graduate study in
-
CDT, you would also be joining the Leonardo Centre for Tribology, which is an active and friendly group. There are ~25 PhD students working on machine elements, tribology, lubrication, and sensor
-
comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family‑friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu
-
Lab aims to reveal how metabolism, oxidative stress, and cell death converge to shape cell fate. For more information about the Henry Lab, please visit: https://thehenrylab.squarespace.com/ For more
-
family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing