Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
-
center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
-
Overview The group of Specialized Metabolism , led by Prof. Alain Goossens at the VIB-UGent Center for Plant Systems Biology, and the metabolic engineering research group, led by Prof. Marjan De Mey
-
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
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, and Fagales. Research Focus While the two positions will work closely together and share many responsibilities, they have slightly different initial focus areas: Position 1: Computational Genomics and
-
(Leuven, Belgium). We are a team of more than 15 international scientists/ admin. staff studying human brain development and disease, combining human stem cell technology, human brain and mouse models. Job
-
biology, and proteomics approaches. The Advanced Live Cell Imaging group (https:www//vandammelab.be) studies endomembrane trafficking in Arabidopsis, with a strong focus on clathrin-mediated endocytosis. In
-
of cellular metabolism or physiology. Experience in genetic engineering of phytoplankton or mass spectrometry-based metabolomics is a plus. The postdoc will get training in high-throughput metabolomics and
-
research that offers real-world solutions to citizens, patients, and farmers. Beyond research, VIB is dedicated to fostering knowledge-sharing through the Training & Conferences Program, offering a range of
-
metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving