Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aalborg University
- Aarhus University
- Aalborg Universitet
- University of Copenhagen
- Aarhus University (AU)
- Technical University of Denmark (DTU)
- Copenhagen Business School
- Technical University of Denmark
- Technical University of Denmark;
- TEGNOLOGY APS
- Technical University Of Denmark
- University of Southern Denmark (SDU)
- 2 more »
- « less
-
Field
-
analysis, causal inference with machine learning, and deep learning for various health-related domains. The Global Pathogen Analysis Platform (GPAP) is a new international initiative to strengthen global
-
at Aalborg University's Technical Faculty for IT and Design. In addition, the project involves close collaboration with the Department of Architecture, Design, and Media Technology and involves one other PhD
-
Design. In addition, the project involves close collaboration with the Department of Architecture, Design, and Media Technology and involves one other PhD candidate and a postdoctoral researcher. The
-
significant contributions to fundamental machine learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics
-
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
-
data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
-
implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate
-
electrical engineering, control engineering, applied mathematics, computer science, or a related field A strong background in probability and statistics, machine learning, or control theory Interest in cyber
-
machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work
-
Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
machine learning, multidimensional inversion, and probabilistic geological modelling to enable efficient mapping in previously inaccessible terrains. The successful candidate will be employed primarily in