Sort by
Refine Your Search
- 
                Category
 - 
                Country
 - 
                Employer
- NTNU - Norwegian University of Science and Technology
 - Erasmus University Rotterdam
 - NTNU Norwegian University of Science and Technology
 - Norwegian University of Life Sciences (NMBU)
 - University of A Coruña
 - Aalborg Universitet
 - Aalborg University
 - CNRS
 - DAAD
 - Delft University of Technology (TU Delft)
 - Eindhoven University of Technology (TU/e); Published yesterday
 - Eindhoven University of Technology (TU/e); yesterday published
 - Faculdade de Ciências Sociais e Humanas
 - KU LEUVEN
 - Linköpings universitet
 - Loughborough University
 - Nature Careers
 - Technical University of Denmark
 - Umeå universitet
 - University of Cambridge
 - Utrecht University
 - 11 more »
 - « less
 
 - 
                Field
 
- 
                
                
                
12th December 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Algorithmic Fairness in Recommender Systems Apply for this job See
 - 
                
                
                
is not a standalone concept and has close connections to diversity, transparency and bias. In this position, the PhD candidate will work on algorithmic fairness in job recommender systems
 - 
                
                
                
Algorithmic Categorization”, 2024.07707.IACDC supported by measure “RE-C05-i08.m04 – “Support the launch of a program of R&D projects aimed at the development and implementation of advanced cybersecurity
 - 
                
                
                
The Marketing group at Rotterdam School of Management, Erasmus University seeks a highly motivated PhD student with strong quantitative skills to study the problem of algorithmic biases in marketing. As machines
 - 
                
                
                
in basic control-flow analysis. Process mining, as it stands today, is primarily based on computational techniques and algorithms to analyze and optimize processes. Methods such as process discovery
 - 
                
                
                
. About your role: Develop improved physical models of the image formation process in holographic X-ray imaging Design and implement reconstruction algorithms for handling large-scale tomographic data from
 - 
                
                
                
. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
 - 
                
                
                
computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
 - 
                
                
                
algorithms will turn these high-resolution insights into searchable, verifiable databases, seeking to better inform assay decision making. Applicants should have (or expect to be awarded) a good UK Master's
 - 
                
                
                
models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek a candidate