Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, your tasks will include: •Designing, executing, and analyzing model-based workflows to study the molecular response of cartilage under mechanical load. •Integrating advanced imaging techniques, including
-
Research Infrastructure? No Offer Description We are looking for a researcher to work on the finite element modelling of the interaction between textile materials (yarns and fabrics) and textile
-
for a full-time (100%) senior researcher to establish next-generation humanized models for studying peripheral neuroimmunity in Parkinson’s disease The Laboratories for Gut-Immune-Brain Axis Research
-
-generation humanized models for studying peripheral neuroimmunity in Parkinson’s disease The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation
-
for Molecular Neurology are recruiting a postdoctoral researcher to establish next-generation humanized and engraftment models for studying peripheral neuroimmune mechanisms driving Parkinson’s disease. Building
-
trustworthy medical AI? Deep models already outperform humans on many benchmarks, yet in the clinic they remain black boxes: radiologists cannot see why an algorithm flags a lesion, and AI engineers cannot tell
-
staff and students. ABOUT CMM The CMM groups about 45 researchers of the faculties of Science and Engineering and Architecture with molecular modeling interests and is unique in the university as it
-
is the construction of tail dependence models that are flexible, parsimonious, and computationally tractable, and scale well as the dimension grows. Recently, Kiriliouk, Lee and Segers (2024, X-Vine
-
vivo pancreatic acinar-to-ducal metaplasia models and deploy liquid-chromatography mass-spectrometry to analyse the metabolome and proteome of acinar cells undergoing metaplasia. The researcher will
-
spiking neural network modeling, we aim to uncover translational biomarkers and fundamental mechanisms underlying altered inhibitory circuits and network dynamics. The project offers significant