-
trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
-
doctoral thesis after 4 years Desirable but not required Experience with yeast molecular biology (PCR, transformation, large-scale assays) Knowledge of statistics packages and/or data analysis using R Key
-
data integration basic/intermediate programming skills in R and/or Python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic
-
, Computer Science, Mathematics, Machine Learning, Statistics, Bioinformatics, Computational Neuroscience). You have a genuine interest in interdisciplinary work at the interface between machine learning and
-
by a team of postdoctoral researchers, PhD students and technicians in the Sophie Janssens Team with whom you will work in close collaboration. The project will be performed near labs at the Faculty
-
Python Ability to adapt to the research environments while being full members of two labs Desirable skills knowledge of gene regulatory mechanisms statistical analysis basic processing of NGS data