Neuroinflammation significantly affects the older population, particularly in the context of neurodegenerative diseases such as Alzheimer's disease. Additionally, it is also prevalent among younger populations, as seen in conditions like depression and schizophrenia. The aim of this project is to conduct quantitative imaging studies using multimodal imaging systems on various animal models and human subjects.

As part of the research, we will perform dynamic imaging studies (PET, SPECT) to validate radiopharmaceuticals, applying compartment models to evaluate the collected data. Our goals include the development of new radiopharmaceuticals and the analysis of preclinical data, as well as the formulation of reconstruction and pharmacokinetic methods using cutting-edge computational algorithms and applications of artificial intelligence.

By enhancing our understanding of the mechanisms underlying neurodegenerative diseases and neuroinflammatory processes, we aim to contribute to the development of innovative diagnostic and therapeutic solutions. These new approaches have the potential to revolutionize the fields of medical diagnostics and treatment.

The project requires an interdisciplinary approach that encompasses neurobiology, imaging technologies, pharmacology, and computer science. The successful candidate will be expected to actively participate in the planning and execution of research activities, as well as the dissemination of results through scientific publications.