Topic: biases

Develop methods to detect, quantify and visualize errors and biases in heterogeneous geographic data for digital twins. Research combines interactive visualization, AI-assisted analysis and empirical evaluation, including crowd-sourced observations and remote-sensing data. The EDT-funded doctorate is hosted by the AVIZ team and supervised by Maria Lobo-Gunther. English-language applications only. Appointment: 3 years; advertised start 2027-10-01. Monthly gross salary : 2.300 euros.

There are many mysteries in the universe. One of the most significant, often considered the final frontier in science, is understanding how our subjective experience, or consciousness, emerges from the collective action of neurons in biological systems. While substantial progress has been made over the past decades, a unified and widely accepted explanation of the neural mechanisms underpinning consciousness remains elusive. The field is rife with theories that frequently provide contradictory explanations of the phenomenon. To accelerate progress, we have adopted a new model of science: adver

In this talk, we will examine human behavior from the perspective of the choices we make every day. We will study the role of the brain in enabling these decisions and discuss some simple computational models of decision making and the neural basis. Towards the end, we will have a short, interactive session to engage in some easy decisions that will help us discover our own biases.