Assistant professor in Data driven cell and molecular biology

Subject field

Data driven cell and molecular biology.

Subject description

The subject covers the development and use of data-driven methods relying on machine learning or other computational techniques, within cell and molecular biology.

The specific focus is on development and application of methods for analysis of cellular and molecular biology data, primarily omics data, such as bulk and single-cell data, spatially resolved data and mass spectrometry data, but also image and phenotype data or epigenetic data.

The goal is both to develop new computational methods for analysis of data from existing experimental methods, and to develop computational methods that lay the ground for novel experimental techniques for producing omics data.

Duties

The duties include creating a research activity of highest international standard within the subject field, to develop and strengthen the department's activitie...