Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- Aalborg University
- Northeastern University
- Oak Ridge National Laboratory
- Technical University of Munich
- Brookhaven National Laboratory
- Cornell University
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Rutgers University
- University of Nevada Las Vegas
- University of Texas at Dallas
- GFZ Helmholtz-Zentrum für Geoforschung
- George Washington University
- Istituto Italiano di Tecnologia
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Princeton University
- Texas A&M University
- University of Amsterdam (UvA)
- University of Nevada, Reno
- Aalborg Universitet
- Consejo Superior de Investigaciones Científicas
- Delft University of Technology (TU Delft)
- Duke University
- ETH Zürich
- East Carolina University
- European Space Agency
- Hong Kong Polytechnic University
- IMT Atlantique
- IMT Nord Europe
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Institute of Measurement Science, Slovak Academy of Sciences
- Leiden University
- Linköping University
- Loyola University
- Lunds universitet
- Michigan State University
- Mälardalen University
- North Carolina A&T State University
- Riga Stradins University
- Stanford University
- Sveriges Lantbruksuniversitet
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- The University of North Carolina at Chapel Hill
- UNIVERSITE D'ORLEANS
- UNIVERSITY OF HELSINKI
- Umeå University
- Umeå universitet
- Umeå universitet stipendiemodul
- Universitat de Girona
- University of Cambridge;
- University of Colorado
- University of Copenhagen
- University of Luxembourg
- University of Southern Denmark
- University of Utah
- Université côte d'azur
- Wageningen University & Research
- Wrocław University of Science and Technology
- 51 more »
- « less
-
Field
-
intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
-
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer
-
neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
-
to these uses cases by developing machine-learning based methods for analyzing IoT time-series data. Your Competencies: We seek a highly motivated researcher with a PhD in computer science, proficiency in
-
and enthusiastic individual who meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related
-
or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning
-
machine learning methods for detecting, classifying, and identifying wireless anomalies in real-world radio environments. You will design and experiment with AI-driven approaches for spectrum analysis, work
-
machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
-
Deadline 20 May 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
-
. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with