Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Carnegie Mellon University
- Monash University
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- University of Antwerp
- NTNU - Norwegian University of Science and Technology
- University of Amsterdam (UvA)
- University of Exeter
- Aalborg University
- CNRS
- Eindhoven University of Technology (TU/e)
- KU LEUVEN
- Manchester Metropolitan University
- AALTO UNIVERSITY
- Durham University
- Inria, the French national research institute for the digital sciences
- Radboud University
- SciLifeLab
- The University of Newcastle
- University of Cambridge;
- University of Nottingham
- Wageningen University & Research
- Fondazione Bruno Kessler
- Hotelschool The Hague
- Jane Street Capital
- Leiden University
- Norwegian Institute of Bioeconomy Research
- Radix Trading LLC
- THE UNIVERSITY OF HONG KONG
- Tilburg University
- University of Florida
- University of Luxembourg
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- Aalborg Universitet
- Aarhus University
- Adam Mickiewicz University
- Amsterdam UMC
- City St George’s, University of London
- Copenhagen Business School
- Duke University
- European Commission - Joint Research Centre
- Fraunhofer-Gesellschaft
- Georgia Southern University
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Heidelberg University
- IFIC
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Sistemas e Robótica (ISR)
- KNAW
- Karl Landsteiner University of Health Sciences
- King's College London
- King's College London;
- Linköping University
- Maastricht University (UM)
- Manchester Metropolitan University;
- Max Planck Institute for the History of Science •
- Max Planck Institute of Animal Behavior, Radolfzell / Constance
- Mälardalen University
- National Research Council Canada
- Newcastle University
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Radboud University Medical Center (Radboudumc)
- Silesian University of Technology
- Singapore University of Technology & Design
- TU Darmstadt
- Technische Universitaet Dresden
- Technische Universität München
- The University of Chicago
- The University of Edinburgh
- The University of Manchester
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITAT POMPEU FABRA
- UNIVERSITY OF VIENNA
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University Medical Center Groningen
- University of Bedfordshire
- University of Groningen
- University of Melbourne
- University of Southampton
- University of Surrey;
- University of Sussex
- University of Texas at El Paso
- University of Vienna
- University of Warwick
- Vrije Universiteit Brussel
- 79 more »
- « less
-
Field
-
. This will allow for a deep dive into the synchronic and diachronic properties of predictability. The PhD candidate will have the opportunity to collaborate with members of the project involved in developing
-
awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
-
English language requirements . Not have previously completed a PhD. Be able to commence the Program in the year of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep
-
applicants who demonstrate substantial hands-on experience implementing, training and evaluating deep-learning models will be considered. General interest in AI or experience limited to running tutorials
-
requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in
-
language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments
-
and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
-
to come, to learn, to live their passion and do their best work. We are dedicated to promoting equality, creating a safe environment for everyone, and believe deeply in diversity of race, gender, sexual
-
intelligence, computer science, remote sensing, geomatics, data science, or a forest/environmental science discipline with a strong quantitative or AI component Strong knowledge of machine learning and deep
-
the Groeblacher Lab we have a vision: we thrive to be an inclusive place where a diverse mix of talented people want to come, to learn, to live their passion and do their best work. We are dedicated to promoting