The candidate will develop and employ a variety of (deep) machine learning techniques, phylogenetic modeling as well as probabilistic Bayesian modelling to quantitatively characterize and predict pathogen recognition by the immune system and specifically in an autoimmune setting (celiac disease). 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 (e.g. celiac disease) immunodiagnostics and immunotherapeutics. The candidate will also develop a software framework for fast and reliable processing of single-cell and proteomics immune cell omics data. The candidate will be expected to closely collaborate with machine learning experts, computational and experimental immunologists as well as clinicians.
Application deadline: 27 Feb 2019.
We are always looking for highly motivated scientists at all levels of training to join our research group. Science thrives with diverse perspectives and approaches. Everyone is welcome in the Greiff Lab, regardless of race, nationality, religion, gender, sexual orientation and age.
The Greiff Lab is located at the Department of Immunology at the University of Oslo, which is embedded into the Oslo University Hospital, the largest hospital in Northern Europe. There are ample opportunities for collaboration and scientific exchange with a large community of immunology, computational biology, machine learning and clinical groups.
We emphasize the development of research skills for all lab members. Some skills we will help you train in: immunological knowledge, artificial intelligence (machine learning, deep learning) techniques, programming, scientific project management, oral and conference presentations, written communication for scientific publications and grants. Victor meets with lab members weekly to discuss research progress and training needs. Lab members receive a written evaluation twice annually.
Interested individuals should email Dr. Victor Greiff.