Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Carnegie Mellon University
- University of Luxembourg
- AALTO UNIVERSITY
- CNRS UMR6614 CORIA
- Chalmers University of Technology
- Constructor University Bremen gGmbH
- Duke University
- IMEC
- Imperial College London;
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- NTNU Norwegian University of Science and Technology
- Science me Up
- Tampere University
- Technical University of Munich
- The University of Chicago
- University of Cambridge;
- University of Texas at El Paso
- 8 more »
- « less
-
Field
-
of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce versatile alumni and draw faculty and staff eager to be a part of the
-
in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research results in
-
Learning, particularly Graph Neural Networks, Transfer Learning, Deep Reinforcement Learning, and Transformer-based models, including hands-on implementation Strong understanding of machine learning models
-
of experience; OR PhD in the same fields with two (2) years of experience. You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your
-
of experience; OR PhD in the same fields with five (5) years of experience. You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond
-
of experience; OR PhD in the same fields with two (2) years of experience. You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your
-
of experience; OR PhD in the same fields with five (5) years of experience. You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond
-
. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
-
etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep
-
Nanoengineering department. In this position you will have a chance to take a deep dive into quantum computing and make a real impact by high-quality research. Join us in shaping the future! Your role and goals