.The selected candidate will Participate in the development of Deep Learning based models and Radiomics Signatures that will be extracted from Medical Imaging examinations including but not limited to mpMRI in patients with prostate cancer, MR Mammography, Contrast Enhanced Mammography in patients with breast cancer, Contrast Enhanced CT scans in patients with pancreatic or liver primary and secondary cancer. The projects that the candidate will be involved in are multicentric studies both at a national and international level providing diverse data with a strong intention of translating research results to the clinics. Research Field Computer science » Other PhD or equivalent - First Stage Researcher (R1) / Recognised Researcher (R2) Skills/Qualifications - 1st degree in Biomedical Engineering or Computer Science or Statistics; - Ph.D. in computer science with an emphasis on medical imaging analysis. Essential skills - Prior experience in radiomics and deep learning projects in medical imaging; - Prior experience in Natural Language Processing models. Required Languages Fluency in English - Excellent level Employment Details - Competitive remuneration package commensurate with skills, qualifications, and experience.- Full immersion into a research excellence ecosystem with highly motivated researchers, supported by state-of-the-art technology and continuous development opportunities.- The monthly remuneration will be up to 4.000€ depending on experience level/qualifications demonstrated. - 24 months with the possibility of renewal. Eligibility criteria National, Foreign or Stateless candidate(s) who hold a PhD degree in Biomedical Engineering, Medical Physics, Computer Science, Biostatistics or other related scientific areas and a scientific and professional curriculum that reveals a profile appropriate to the activity to be developed. In case of PhD degrees awarded by foreign higher education institutions, the degree must comply with the provisions of Decree-Law No. 341/2007, of 12th of October, and all formalities established therein must be fulfilled by the deadline for application submission. Selection process - Candidates will be screened to determine eligibility based on minimum qualifications listed in the call. Candidates meeting minimum requirements will be scored according to the required application materials: CV 70% weighting, motivation letter 20%, interview 10% (in case of a tie); - If provided, and if shortlisted, candidates' referees may be contacted and may count towards evaluation. When tied, top candidates will be interviewed (in person or remotely). The result of the interview is then the sole evaluation criteria (basic documentation required). If no tie, holding of interviews at the discretion of the Evaluation Committee. Evaluation Committee members - Nickolas Papanikolaou- Celso Matos- Noam Shemesh Application materials - CV and letter of motivation indicating 2 references (one single pdf document)
