Background. Glioblastoma is the most common brain cancer in the adult population. The abnormal proliferation of cells in the central nervous system characterizes it. Surgery is often the treatment of choice combined with other therapies, such as chemotherapy, radiation therapy, and, more recently, immunotherapy. Nevertheless, it presents the lowest survival rate among human cancers. Personalized medicine, defined as the stratification of patients to provide the most adapted treatment to individuals with the highest probability to benefit from it, extends beyond genetics and immunology to encompass lifestyle and environmental factors. The “Improving personalized glioblastoma care by intertwined immunomics and artificial intelligence approaches” (IPerGlio) project aims to collect and integrate clinical, immune, lifestyle and environmental data from GBM patients by a combination of Business Intelligence and Artificial Intelligence approaches to predict GBM prognosis and response to combination treatments with immunotherapy.
Objectives. The PhD project will be part of the IPerGlio international consortium involving experts in neurology, tumor immunology, artificial intelligence, immunomonitoring, and ethic in medicine. Specifically, the thesis aims to uncover prognosis markers by systemic immune monitoring using mass cytometry, integrate the consortium’s data in a unique database, and drive the discovery process with the help of external databases.
Training and research environment. The National Cytometry Platform (NCP), directed by Dr. Antonio Cosma, belongs to the Translational Medicine Operation Hub department. Dr. Cosma has a long experience in the comparative analysis of the immune system in humans and the Cynomolgus macaque model and the characterization of the innate immune system in infectious diseases, vaccination models, and inflammatory diseases. The NCP is equipped with state-of-the-art cytometry instruments and is internationally recognized for its expertise. We offer a unique scientific and technological environment where scientific questions can be answered with the most advanced single-cell technologies and multidimensional analysis strategies.
Dr. Antonio Cosma will supervise this project.
Key Skills, Experience and Qualifications
- Master (degree obtained before April 1st, 2023) with a background/education in immunology, tumor biology, or equivalent.
- Hands-on laboratory experience is essential.
- Knowledge of statistics, database theory, data management, programming languages are assets.
- Willingness to learn, rigour, perseverance, scientific creativity and originality are essential skills.
- Fluency in English and excellent writing skills are mandatory.
What we offer
Researchers are supported by easy access to scientific expertise, well-equipped facilities, an active seminar program, and the possibility for close collaborations with universities and other research institutes.
A competitive salary with full benefits will be offered.
More information about the LIH can be found here: https://www.lih.lu/en/