Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Singapore
- Australia
- Germany
- France
- Austria
- Netherlands
- Spain
- Belgium
- Norway
- Sweden
- Denmark
- Portugal
- Canada
- United Arab Emirates
- China
- Italy
- Switzerland
- India
- Luxembourg
- Czech
- Ireland
- Poland
- Finland
- Hong Kong
- New Zealand
- Romania
- Japan
- Lithuania
- Morocco
- Saudi Arabia
- South Africa
- Cyprus
- Slovenia
- Andorra
- Armenia
- Barbados
- Brazil
- Croatia
- Estonia
- Europe
- Fiji
- Greece
- Kyrgyzstan
- Latvia
- Taiwan
- Worldwide
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Science
- Engineering
- Business
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Materials Science
- Chemistry
- Humanities
- Social Sciences
- Environment
- Linguistics
- Sports and Recreation
- Earth Sciences
- Psychology
- Philosophy
- Design
- Electrical Engineering
- Physics
- Statistics
- 15 more »
- « less
-
, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
-
. This position offers an exciting opportunity to work in a dynamic, innovative research environment. Labor Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/px/index.html Lab: https
-
environment to study these topics given its expertise in Machine and Deep Learning, Computer Vision, Signal Processing, and Multimedia. Also, its declared vision to work especially in presence of imperfect data
-
solutions that enhance ecological monitoring, improve resilience planning, and promote sustainable resource management. Development of a Detection Transformer through Attentive Deep Learning and Explainable
-
for candidates appointed as lecturers to teach online courses exclusively. For more information, please visit https://www.bu.edu/eng/academics/departments-and-divisions/electrical-and-computer-engineering/current
-
stakeholder groups. Deep understanding of business processes and IT alignment, with the ability to deliver measurable value. Skilled in resource planning and budgeting for large-scale projects. Self-motivated
-
of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense
-
team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
-
, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based synthetic data generators
-
learning architectures, addressing both Parameter-Efficient Fine-Tuning (PEFT) regimes and full end-to-end fine-tuning workflows. Where to apply Website https://www.unimore.it/ Requirements Additional