Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- Fraunhofer-Gesellschaft
- Technical University of Denmark
- Chalmers University of Technology
- Cranfield University
- Ghent University
- ;
- CWI
- Curtin University
- DAAD
- Leibniz
- Linköping University
- Monash University
- ; Anglia Ruskin University
- ; Aston University
- ; Cranfield University
- ; Loughborough University
- ; Max Planck Institute for Psycholinguistics
- ; Swansea University
- ; University of Birmingham
- ; University of Exeter
- ; University of Nottingham
- Aalborg University
- Aarhus University
- Blekinge Institute of Technology
- Erasmus University Rotterdam
- KNAW
- Lulea University of Technology
- Luxembourg Institute of Socio-Economic Research (LISER)
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institutes
- NTNU - Norwegian University of Science and Technology
- OsloMet
- Technical University of Munich
- The University of Chicago
- UiT The Arctic University of Norway
- Umeå University
- University of Groningen
- University of Southern Queensland
- University of Utah
- Vrije Universiteit Brussel
- 31 more »
- « less
-
Field
-
at universities, such as thesis supervision and assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, human-computer interaction or similar. Self-drive
-
research funding" at the PhD Programme in Management. The position is available from 1 September 2025 (or as soon as possible thereafter). The research project The PhD position will focus on the assessment
-
of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
-
analysis (LCA) Data processing, incl. artificial intelligence and machine learning Serious gaming incl. AR/AV/VR Automation and robotics, incl. human-machine interaction Approval and Enrolment
-
languages such as Python, and experience of Artificial Intelligence and machine learning. They will also be familiar with working with real world data and analysing data based on large and diverse datasets