Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Technical University of Munich
- University of Sheffield
- NEW YORK UNIVERSITY ABU DHABI
- ;
- Nature Careers
- University of Groningen
- ETH Zurich
- University of Oxford
- University of Toronto
- Chalmers University of Technology
- Ghent University
- Nanyang Technological University
- University of Cambridge
- AALTO UNIVERSITY
- Curtin University
- Harvard University
- Hong Kong Polytechnic University
- KINGS COLLEGE LONDON
- University of Minnesota
- University of Nebraska Medical Center
- DAAD
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Heriot Watt University
- McGill University
- Northeastern University
- Technical University of Denmark
- University of Florida
- University of Oslo
- University of Twente
- Durham University
- Forschungszentrum Jülich
- Imperial College London
- King Abdullah University of Science and Technology
- Lancaster University
- Pennsylvania State University
- Purdue University
- Rutgers University
- SciLifeLab
- Swansea University
- UNIVERSITY OF SURREY
- University of Adelaide
- University of British Columbia
- University of Glasgow
- University of Houston Central Campus
- University of Luxembourg
- University of Manchester
- University of Oklahoma
- University of South-Eastern Norway
- University of Southern Denmark
- University of Surrey
- University of West London
- Vrije Universiteit Brussel
- ; Brunel University London
- ; Technical University of Denmark
- ; University of East Anglia
- ; University of Oxford
- Aalborg University
- Aston University
- Central China Normal University
- Cranfield University
- DURHAM UNIVERSITY
- Erasmus University Rotterdam
- Harper Adams University
- ICN2
- Indiana University
- Institut national de la recherche scientifique (INRS)
- King's College London
- Leibniz
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Michigan State University
- Monash University
- National University of Singapore
- New York University
- Princeton University
- Radboud University
- SUNY University at Buffalo
- Singapore University of Technology & Design
- Stanford University
- THE UNIVERSITY OF HONG KONG
- Trinity College Dublin
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF VIENNA
- Umeå University
- University of Antwerp
- University of Birmingham
- University of Bristol
- University of California, San Diego
- University of Copenhagen
- University of Electronic Science and Technology of China (UESTC)
- University of Greenwich
- University of Ljubljana
- University of Miami
- University of Michigan
- University of New South Wales
- University of Southern California
- University of Vienna
- 89 more »
- « less
-
Field
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
-
at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
-
objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical
-
contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
-
Wattenhofer and Dr. Antonio Di Maio . You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but related research directions in
-
of stroke patients and healthy volunteers. Developing algorithms for identifying and excluding motor unit filters associated to impaired motor units. Integrating real-time-decoded features of motor unit
-
design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
-
) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
-
want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Job description We are seeking two highly motivated postdoctoral researchers to join our research team based in the Van de Peer lab, under the supervision of Prof. Dr. Zhen Li, Assistant Professor