Projeto PRR

Sumário

We are seeking a highly qualified and motivated individual to join our institution as an Auxiliary Professor of Physiology, Imaging Analysis and AI Models in Surgery. The successful candidate will play a pivotal role in advancing our understanding of physiological mechanisms relevant to surgical interventions, as well as developing innovative AI-driven approaches for image analysis in surgical contexts.The ideal candidate will have a medical degree and a strong background in physiological principles relevant to surgery, including but not limited to cardiovascular, respiratory, and musculoskeletal systems, as well as medical imaging techniques, such as ultrasound, CT and angiography, with experience in image analysis and processing. The candidate should hold a doctoral degree in Physiology or a related field and a demonstrated track record of scholarly achievement, including publications in reputable journals and presentations at scientific conferences, experience in teaching and mentoring students at the undergraduate and graduate levels, excellent communication skills, ability to collaborate effectively within multidisciplinary teams and expertise in leadership.Special attention will be given to candidates with surgical expertise. Advanced clinical and technical training and expertise in clinical specialities dedicated to surgery and interventions (including but not limited to general surgery, cardiac surgery, vascular surgery, cardiology, interventional radiology, anesthesiology, etc.) are required. The candidate should focus on innovation aimed at bridging the gap between translational and clinical research. He/she should be oriented towards surgical techniques, pharmaco-physiological mechanisms and/or device development. Preference will be given to profiles demonstrating international experiences, such as collaborations with researchers and institutions abroad and participation in research projects conducted in diverse cultural settings, which is highly desirable. Previous experience in projects related to artificial intelligence, particularly in the context of medical imaging and surgical applications, will be highly valued. This includes but is not limited to developing and implementing AI algorithms for image segmentation, feature extraction, and pattern recognition in medical images; applying machine learning techniques to improve diagnostic accuracy and treatment planning in surgical specialities; integrating AI models into clinical workflows to assist healthcare providers in decision-making processes and surgical interventions; and collaborating with interdisciplinary teams to translate AI research into practical solutions that address clinical challenges and improve patient outcomes.This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of physiology, medical imaging, and artificial intelligence, with the potential to shape the future of surgical practice. We welcome applications from individuals passionate about advancing scientific knowledge and improving patient care through innovative approaches.Expected responsibilities will include 1) pre and post-graduate teaching in physiology and imaging analysis and AI models in surgery to both medical students and post-graduate courses (MSc and PhD); 2) developing an innovative course curriculum using contemporary methodologies to enhance the student learning experience; 3) establish an innovative but feasible research line on applied physiology, imaging analysis and AI models in surgery promoting our institution in the field.The rationale for this position aligns with the need to modernize and enhance the quality of cardiovascular medicine education. By leveraging digital technologies and innovative teaching methodologies, the candidate will contribute significantly to the field. The candidate´s role will be pivotal in positioning our institution at the forefront of medical education and research, attracting top talent, and meeting the evolving demands of healthcare education.