Sort by
Refine Your Search
-
Country
-
Field
-
. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
-
. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
-
, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
-
, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
-
Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
-
Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
-
About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
-
. A shortlist of applicants will be selected and invited for interviews. For further information and questions, please send an email to Prof. Jonathan Maelfait ([email protected] ).