There is an open PhD position in Computational Immunology.
The candidate will develop and employ a variety of (deep) machine learning techniques, and probabilistic Bayesian modeling to quantitatively characterize and predict pathogen recognition by the immune system. Computational prediction of immune recognition is a long-standing computational and immunological problem. Improving computational methods for immune recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and autoimmune immunodiagnostics and immunotherapeutics. The candidate will be expected to closely collaborate with machine learning experts, statisticians, computational and experimental immunologists as well as clinicians.
Application deadline: 31 July 2019.
There is an open Postdoc position in Antibody Engineering co-supervised with Fridtjof Lund-Johansen.
The aim of the project is to determine structure-function relationships between antibodies and peptide antigens. The candidate will collaborate with experienced antibody manufacturers to produce recombinant antibodies to peptides. The antibodies will be sequenced and tested for binding to bead-based arrays with the antigens used for immunization and variants where the position is exchanged with all amino acids. We will also use molecular techniques to vary the sequence in the antigen-binding domains of the antibody. The results will be analyzed with bioinformatics tools developed in the Greiff lab.
Application deadline: 20 August 2019.