Optimization, Deep Learning And Signal Processing Techniques For E-Health. Lazio

Optimization, Deep Learning And Signal Processing Techniques For E-Health.
Roma
Lazio, Lazio

Organisation / Company: UNIVERSITA' DEGLI STUDI DELL'AQUILA Research Field: Information science » Other Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3) Country: Italy Application Deadline: 23 Jan 2025 - 23:59 (UTC) Type of Contract: To be defined Job Status: Not Applicable Funding: Not funded by a EU programme Related to Research Infrastructure: No Offer Description The project aims at the study, design, and development of EHealth applications, focusing on issues related to optimization in the field of radiotherapy, as well as the automatic processing and analysis of data acquired through imaging techniques such as CT scans and MRIs. The project will include, but will not be limited to, classical and innovative optimization techniques in Operations Research, along with approaches based on machine learning and/or deep learning. There will also be a significant theoretical component, with objectives including the analysis of the computational complexity of problems and algorithms related to the optimization of radiotherapy treatment plans. Monte Carlo techniques will be used, possibly in conjunction with approximate methods, for the "in silico" simulation of treatment plans. Eligibility of fellows Country / ies of residence: EUROPE Nationality / ies: Not specified J-18808-Ljbffr