Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- New York University
- University of Kentucky
- Yale University
- CNRS
- University of Sydney
- AALTO UNIVERSITY
- Aarhus University
- Carnegie Mellon University
- George Washington University
- Ghent University
- Heriot Watt University
- Rutgers University
- Stanford University
- The University of Arizona
- UNIVERSITY OF SYDNEY
- University of Connecticut
- University of Minnesota
- University of Oregon
- University of Oxford
- Virginia Tech
- Aalborg University
- Argonne
- Boston University
- Brookhaven Lab
- CEA
- CWI
- Czech Technical University in Prague
- Duke University
- European Space Agency
- Georgetown University
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- KINGS COLLEGE LONDON
- Karolinska Institutet (KI)
- Max Planck Institute for Brain Research, Frankfurt am Main
- McGill University
- Medical College of Wisconsin
- Nencki Institute of Experimental Biology
- New York University of Abu Dhabi
- Purdue University
- Reykjavik University
- Stony Brook University
- Technical University Of Denmark
- Texas A&M University
- The University of Iowa
- University of Antwerp
- University of Birmingham
- University of Cambridge
- University of Central Florida
- University of London
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- University of Turku
- University of Tübingen
- University of Vienna
- University of Virginia
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- Utrecht University
- VIB
- École Normale Supéireure
- 55 more »
- « less
-
Field
-
learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
-
of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
-
applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
-
and PhD students) and openly share expertise knowledge with team members (e.g. Post-docs). Collaborate with other two post-docs working in this research programme, to deliver on project aims. Contribute
-
, and functional MRI. As a result, students enrolled in our PhD program come away with the broad conceptual and technical skills necessary to run an independent neuroscience research lab or pursue many
-
to analyze multimodality neuroimaging data (including PET, but mainly MRI), with a goal of detecting and quantifying early neural injury due to neurodegeneration. The research team includes Cognitive
-
currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
-
currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
-
systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
-
restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural