Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- University of Groningen
- University of Antwerp
- VIB
- CNRS
- DAAD
- Monash University
- ; Swansea University
- ; University of Birmingham
- Ghent University
- La Trobe University
- Norwegian University of Life Sciences (NMBU)
- Technical University of Munich
- Utrecht University
- ; University of Surrey
- Chalmers University of Technology
- Leibniz
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Temple University
- University of Adelaide
- University of Bergen
- University of Cambridge
- University of Pennsylvania
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- ; Coventry University Group
- ; Cranfield University
- ; The University of Manchester
- ; University of Cambridge
- ; University of Greenwich
- ; University of Leeds
- Agricultural university - Plovdiv, Bulgaria
- COFAC
- Curtin University
- Delft University of Technology (TU Delft)
- Duke University
- ETH Zürich
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- Faculty of Sciences of the University of Porto
- Forschungszentrum Jülich
- GFZ Helmholtz Centre for Geosciences
- Heidelberg University
- Heraeus Covantics
- Human Technopole
- IRTA
- Institut Pasteur
- International Max Planck Research School for Living Matter
- Jönköping University
- Karlsruhe Institute of Technology •
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Leipzig University •
- Linköping University
- Loughborough University
- Max Planck Institute for Meteorology •
- Max Planck Institute of Molecular Physiology, Dortmund
- McGill University
- Radboud University
- Reykjavik University
- SciLifeLab
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- THE UNIVERSITY OF HONG KONG
- Tallinn University
- Technical University Of Denmark
- Technical University of Denmark;
- Technische Universitaet Darmstadt
- The Ohio State University
- Universidad de Alicante
- University of Alabama at Birmingham
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of California, Berkeley
- University of Exeter
- University of Luxembourg
- University of Münster •
- University of Oxford
- University of Pittsburgh
- University of Primorska
- University of Southern Denmark
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Tübingen
- University of Utah
- University of Warsaw
- VU Amsterdam
- Virginia Tech
- WIAS Berlin
- 83 more »
- « less
-
Field
-
of the Earth system at different temporal and spatial scales to improve predictive capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem
-
fabrication of quantum superlattices at unprecedented spatial resolutions (below 15 nm). You will leverage DTU Nanolab’s best-in-class 100 kV EBL system, applying these techniques directly to well-established
-
on the subcellular spatial and temporal dynamics of these interactions, with an effort to resolve how different pharmacological approaches may strategically and uniquely alter them. The position is limited to a period
-
. The place of work: The tasks will be developed in the Department of Geosciences, Environment and Spatial Plannings of the Faculty of Sciences of the University of Porto. 6. Duration of work permanent contract
-
, sustainability science, geography, or a related field. You have experience with quantitative research methodologies, including mathematical programming or scenario modelling. You have experience with spatial
-
. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
-
changing spatial regulations. You will also help design economic decision-support tools to inform more inclusive and evidence-based marine policy. Your duties and responsibilities include: analyzing
-
softness with mechanical performance. Compliant mechanisms, particularly spatial compliant shell mechanisms, offer a promising solution. These structures can achieve large, controlled deformations while
-
to the collected dataset. Deep learning will focus on physics-based features developed earlier. Convolutional layers will be used to extract spatial patterns, while LSTM layers will capture temporal aspects across
-
, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and