Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Norway
- Germany
- Sweden
- France
- Australia
- Belgium
- Spain
- United Arab Emirates
- Austria
- Singapore
- Poland
- Denmark
- Portugal
- Switzerland
- Canada
- Finland
- Luxembourg
- China
- Hong Kong
- Italy
- Ireland
- Romania
- Brazil
- South Africa
- India
- Czech
- New Zealand
- Slovenia
- Cyprus
- Greece
- Worldwide
- Afghanistan
- Andorra
- Bulgaria
- Estonia
- Guinea
- Iceland
- Japan
- Latvia
- Macau
- Malaysia
- Malta
- Morocco
- Namibia
- Vietnam
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Science
- Mathematics
- Business
- Materials Science
- Social Sciences
- Arts and Literature
- Chemistry
- Humanities
- Psychology
- Education
- Electrical Engineering
- Linguistics
- Environment
- Earth Sciences
- Law
- Physics
- Philosophy
- Design
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with nuclear fuel modelling, machine learning
-
Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Research Scientists (PhD) Bookmark this Posting Print Preview | Apply for this Job Announcement
-
equivalent foreign degree, obtained within the last three years prior to the application deadline Experience with simulation frameworks, system-level performance evaluation, or machine learning, is highly
-
of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307240/phd-candidate-in-machine-… Requirements
-
Business, Business Analytics, Machine Learning/Deep Learning/Reinforcement Learning, Advanced topics in AI, and other technical courses) in the undergraduate and master’s programs. Research in IS pedagogy is
-
/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via
-
of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
-
and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and decentralised AI pipelines Formal
-
- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
-
a wide array of 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