Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Australia
- Singapore
- United Kingdom
- France
- Germany
- Austria
- Belgium
- Netherlands
- Sweden
- Norway
- Spain
- Portugal
- Denmark
- Canada
- Italy
- United Arab Emirates
- Luxembourg
- China
- Switzerland
- India
- Hong Kong
- Ireland
- Finland
- Czech
- Poland
- New Zealand
- Cyprus
- Japan
- Morocco
- Lithuania
- Romania
- Saudi Arabia
- Bulgaria
- Latvia
- Slovenia
- South Africa
- Andorra
- Armenia
- Barbados
- Brazil
- Europe
- Fiji
- Greece
- Kyrgyzstan
- Taiwan
- Worldwide
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Science
- Business
- Engineering
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Materials Science
- Linguistics
- Social Sciences
- Chemistry
- Humanities
- Environment
- Sports and Recreation
- Psychology
- Earth Sciences
- Philosophy
- Electrical Engineering
- Design
- Physics
- Statistics
- 15 more »
- « less
-
the field of frugal or green AI TECHNICAL SPHERE You have a proven experience in frugal, green or low-resource AI Strong grasp of deep learning architectures (CNN, RNN, Transformers, LLMs). Experience in fine
-
/A (Logic and Philosophy of Science), research project "Critical History of Deep Learning". DEADLINE: February 2nd 2026, AT 1:00 P.M. CET Where to apply Website https://www.unive.it/data/50068/?id=2026
-
-Island/Regulatory-Advisor_REQ207232 Job Description: About Brown Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students
-
, courses will be delivered asynchronously online, through OSU’s award-winning online education (Ecampus) program, with a commitment to providing engaging, active, and equitable learning experiences
-
optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
-
communication skills and a deep understanding of donor engagement. The successful candidate will have a proven track record of successful collaborations with colleagues across departments, divisions, or Schools
-
when training data is scarce, using machine and deep learning techniques and informed machine learning methodologies. 3. Job profile. Preference will be given to those with: 3.1. Experience and training
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers
-
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 employment opportunity
-
. Learn more about the great benefits of working for University of Utah: benefits.utah.edu The department may choose to hire at any of the below job levels and associated pay rates based on their business