Sort by
Refine Your Search
-
Program
-
Field
-
addressing energy consumption, optimising efficiency, and ensuring scalability to meet the demands of complex tasks and large-scale deployments. As a PhD candidate, you will leverage tools from network science
-
for Neuroscience (DCN), we aim to understand the complex neural networks underlying perceptual, motor and cognitive brain functions. We study these networks by employing experimental as well as computational
-
the computations and neural mechanisms of these complex processes. As a PhD candidate, you will also have the opportunity to develop valuable skills by mentoring students, participating in international conferences
-
how the brain makes sense of the senses in a complex dynamic multisensory world? How it flexibly adapts to changes in its environment? Join our multidisciplinary team to study the computations and
-
, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory. You will be part of both the Probabilistic Graphical
-
an international network of nine research labs located throughout Europe. You will receive interdisciplinary training in theories and methods for the study of visual perception, decision-making and confidence