2019 June 14th: CIBER is looking for a candidate with a Degree in biomedical engineering, computer science, telecommunications engineering or similar to work at the Universitat Autònoma de Barcelona (UAB), with the Biomedical Applications of MR group is located, under guidance of Dr. Ana Paula Candiota and Dr. Margarida Julià-Sapé for preclinical brain tumor biomedical imaging/spectroscopy data at NANBIOSIS U25 NMR: Biomedical Applications I
APPLICATIONS MUST BE FILLED AT CIBER’s web portal untill June 28th (https://www.ciberisciii.es/empleo/detalle-oferta?id=1826):
This position is associated with the MAGRes project (Multiparametric MR approaches for non-invasive glioblastoma therapy response follow-up) and has received funding from the ATTRACT project funded by the EC under Grant Agreement 777222.
The candidate will participate in multi-parametric magnetic resonance data processing and postprocessing tasks, as well as in his analysis by modern methods of pattern recognition and adaptive learning. Specifically, the data will be IRM and IERM obtained with Bruker’s 7T preclinical scanner and processed / post-processed with both commercial and locally developed software. The purpose is to find a joint vicarious biomarker of the active participation of the immune system in the response to the therapy of preclinical models of glioblastoma. This information will be integrated into a software to be developed for analysis and visualization of this type of data, which will provide, in a reliable and real-time manner, information on the response to therapy. English: The candidate will participate in the tasks of multiparametric magnetic resonance data processing and postprocessing, as well as their analysis, through state-of-the-art machine learning techniques. Specifically, data will be MRI and MRSI from a Bruker 7T preclinical scanner and software for processing and postprocessing both commercial and ad hoc software. The final goal is to find a joint surrogate biomarker of active immune system participation in response to therapy of preclinical models of glioblastoma. This information will be integrated into the software package which will be developed for analysis and display of such data in order to provide, in a reliable and real time manner, information about response to therapy.
• A degree in biomedical engineering, computer science, telecommunications engineering, or similar areas. Background in machine learning and/or data science will be a plus.
• An excellent command of the English language (C1)
• A genuine interest in biomedical imaging, cancer and research
• Availability to travel to Madrid for interaction with the software development team