Sort by
Refine Your Search
-
Country
-
Employer
- Carnegie Mellon University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Jane Street Capital
- Radix Trading LLC
- Tilburg University
- University of Cambridge;
- University of Florida
- Wageningen University & Research
- ;
- AALTO UNIVERSITY
- Chalmers University of Technology
- Duke University
- European Commission - Joint Research Centre
- Georgia Southern University
- Instituto de Sistemas e Robótica (ISR)
- Northeastern University
- Purdue University
- Singapore University of Technology & Design
- Technische Universitaet Dresden
- The University of Alabama
- The University of Chicago
- UNIVERSITAT POMPEU FABRA
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Luxembourg
- University of South-Eastern Norway
- University of Texas at El Paso
- 16 more »
- « less
-
Field
-
scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and
-
from the Finnish Meteorological Institute (FMI), as well as the DR will develop new and improved in-orbit E-sail experiments for future missions in lunar orbit and deep space. The DR will be enrolled
-
& Economic Research (WSER), part of Wageningen University & Research, one of Europe's leading institutes for applied socioeconomic research in agriculture and food systems. In this role, you will acquire and
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
to accelerate technological maturity (TRL), validation, and the transfer of scientific results. Main Responsibilities: Application of advanced Machine Learning, Deep Learning, reduced-order models, and physics
-
Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with
-
Join a dynamic team of motivated individuals with deep collective experience throughout digital forensics, incident response, investigation, operations, and academic research. We seek individuals
-
Join a dynamic team of motivated individuals with deep collective experience throughout digital forensics, incident response, investigation, operations, and academic research. We seek individuals
-
centres, we provide an unparalleled learning environment for its 24,000 students and 13,000 staff. At Cambridge, our mission is to contribute to society through world-class education, learning, and research
-
or environmental engineering, Mathematics (Operations research) or Computer Science or Machine Learning). Documented knowledge of relevant methodologies, both quantitative and/or qualitative, at master’s level
-
and familiarity with at least one deep learning framework Basic understanding of NLP concepts (e.g., language models, tokenization, fine-tuning) Strong attention to detail, ability to follow