108 parallel-computing-numerical-methods positions at University of Groningen in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
have long-term consequences for the enslaved people and their freed descendants? The project will apply advanced empirical methods (e.g. structural estimation) in finance and economics to study these
-
literacy education as a method of building resilience in a distorted information environment. It will do so by exploring the application of media literacy knowledge and skills by Ukrainian refugees in
-
publications, conference presentations, and ultimately a PhD thesis. The PhD thesis has to be completed within four years. Being part of a cutting-edge research programme, you will receive research training as
-
interested in both quantitative and qualitative research methods. The specific focus of the study can be tailored to align with the candidate's individual interests and expertise; we therefore invite
-
supervisor and together with a motivated team, you will work on meaningful solutions and contribute to the future of your field. This project will use a mixed-methods design to explore the role of school dogs
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
-
, and videos using AI systems. Methods are needed for the combination of various data types and for continual, persistent learning. For a more detailed description of each of these positions, please see