Sort by
Refine Your Search
-
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
-
, the Postdoctoral Researcher will be in charge of Assisting Professor Neframi in coordinating the Doctoral Training Unit on Green and Digital Transitions in the Single Market (DTU-GREITMA) Assisting in organizing
-
on cancer 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
-
with an interest in technology valorization and applied research. Terms of employment A dynamic research environment with state-of-the-art facilities and close collaborations with industry and
-
: In vitro and/or in vivo phage display; Cloning, engineering, expression, purification and characterization of VHHs. We invite applications from dynamic individuals with a strong drive for innovation
-
, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
-
, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
-
researcher to join our enthusiastic and young interdisciplinary teams of Prof. Dmitriev (Tissue Engineering and Biomaterials Group) and Prof. Vergult (Functional Genomics lab), as part of the MINDFUL research
-
one first-author research publication(s) in a peer-reviewed international journal has prior laboratory experience in circuit tracing and electrophysiology. Experience in coding is a plus. enjoys working
-
biopharmaceuticals. The research at CMB pushes the boundaries of biomolecular and bioinformatics research and engineering technologies. VIB.AI studies fundamental problems in biology by combining machine learning with