Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cranfield University
- Wageningen University and Research Center
- Technical University of Denmark
- University of Nottingham
- ; City St George’s, University of London
- ; The University of Manchester
- Aalborg University
- CWI
- Goethe University Frankfurt •
- Susquehanna International Group
- UNIVERSITY OF VIENNA
- University of Groningen
- University of Vienna
- ; Cranfield University
- ; Swansea University
- ; University of Exeter
- Curtin University
- DAAD
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ghent University
- Institute of Science and Technology Austria (ISTA)
- La Trobe University
- Ruhr-Universität Bochum •
- SciLifeLab
- Technical University of Munich
- Technische Universität Berlin •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- The University of Manchester
- University of Amsterdam
- University of Bremen •
- University of Oslo
- University of Sheffield
- Università degli Studi di Sassari
- Universität Hamburg •
- VIB
- 28 more »
- « less
-
Field
-
investigate online feature engineering, continual learning and uncertainty quantification. Balance performance with governance. Projects will evaluate risk-adjusted returns alongside interpretability
-
Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria
-
. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
-
scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
-
engineering, or in a closely related discipline; a strong and proven affinity with experimental techniques and mathematical modeling; fundamental understanding of fluid mechanics and soft matter physics; good
-
international conferences and to collaborate with other academic and industrial partners. The ideal candidate holds a Master’s degree in Robotics, Control Theory, Mechanical Engineering, or Applied Mathematics. A
-
Engineering, or Applied Mathematics. A background in system dynamics, modeling, or control is essential; prior experience with soft robotics or experimental work is a plus but not required. We value
-
, including the Department of Applied Mathematics, Computer Science and Statistics at Ghent University (Belgium), the Leibniz-Institut für Analytische Wissenschaften (Germany), and the Oncology Clinic
-
in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics in a world-class research environment
-
) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including