Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
from noise correlations at different scales in order to obtain a comprehensive understanding of the lithospheric structure of the FMC. Data from the main MACIV network and the three profiles will be used
-
stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference between the home and international tuition fees. Exceptional
-
the difference between Home and International fees. Hours: Full Time Closes: 13 April 2026 Background Animals with complex life histories are particularly vulnerable to environmental change. Afro-Palearctic
-
dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects
-
This is Nord University Would you like to help create knowledge that makes a difference? At Nord University, we develop future solutions through education, research, and collaboration with the society
-
distributions and model parameter predictions. Experiments should be conducted on a range of tasks of different complexity in the context of different data domains, for example speech classification, speech
-
the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and
-
now As a successful candidate, you will be part of the international research project “Follow the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD
-
that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
-
. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase