Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
-
faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. You can demonstrate an interest and abilities in theoretical modelling in economics and
-
systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell systems. Research groups have access to state-of-the-art research and top-notch support core facilities and
-
pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
-
, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
-
validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology
-
the environment-economy interrelationship in a selected area of environmental and economic law. Moreover, the United States has pursued a different path to govern the economy-environment nexus, already before
-
from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell
-
include 1) a murine (diet-induced obesity) model, 2) acute and chronic exercise paradigms, 3) treatment with peripherally restricted enzyme-based eCB modulators, 4) multi-tissue molecular analyses and 5
-
. You will work on a strategic research project funded by the Flanders Make. In this project we want to research and develop a transformer-based framework that couples with physics-based models to handle