Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and set a course for the future – a future
-
adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study voiding behavior in mice and developed live imaging techniques
-
live-cell imaging, we can now explore hormone regulation at unprecedented single-cell resolution. Using these tools, we have observed dynamic fluctuations in brassinosteroid signalling throughout
-
regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and
-
for Microbiology and VIB.AI, creating a unique interdisciplinary environment for this research project. About the project This position offers the opportunity to lead a cutting-edge project at the intersection
-
offering a postdoctoral position funded by an ERC project aimed at revolutionizing therapeutic delivery into the brain via the blood-CSF barrier. Our pioneering research harnesses the power of single-domain
-
, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have an analytical mindset be able to summarize data extracted
-
-brain axis, and identify immune-mediated drivers of brain dysfunction. Position The Computational Neurobiology group (Dr. Valeriya Malysheva), Gut-Immune-Brain Axis Lab (Dr. Seppe De Schepper
-
brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
-
cortical neurons into mouse brain In vivo 2-photon Ca²⁺ imaging, visual plasticity paradigms, and behavioral analysis Transgenic mouse models combining SYNGAP1 mutations with humanized SRGAP2C