Postdoctoral Research Associate in Medical AI Innovations

2 weeks ago


Gainesville, Florida, United States InsideHigherEd Full time


Postdoctoral Research Associate - Medical AI Innovations

Job No: 525751
Work Type: Post Doc Associate
Categories: Computer Science, Information Technology, Artificial Intelligence, Engineering, Physical/Mathematical Sciences
Department: MD-RADIOLOGY

Position Overview

We are seeking a highly motivated individual for a one-year Postdoctoral Research Fellowship focused on Medical AI Innovations within the Department of Radiology. This role involves the advancement and application of artificial intelligence (AI) methodologies in the field of medical imaging, specifically within the Radiomics and Augmented Intelligence Laboratory (RAIL). Under the guidance of experienced principal investigators, the successful candidate will engage in the design and development of cutting-edge algorithms aimed at enhancing the analysis of medical imaging modalities, including CT and MRI scans.

Key Responsibilities

The selected postdoctoral fellow will collaborate with a multidisciplinary team of clinicians, scientists, and industry partners to:
  • Lead the development of AI algorithms that are clinically relevant and have the potential for widespread adoption.
  • Participate in research initiatives that integrate the latest technological advancements with clinical expertise.
  • Contribute to the publication of research findings in reputable journals.

Qualifications

Minimum requirements include:
  • A PhD in computer science, electrical and computer engineering, biomedical engineering, applied mathematics, medical physics, or related disciplines.
  • A robust background in machine learning, particularly in deep learning applications for medical image analysis and computer vision.
  • Proficiency in Python programming.
  • Strong written and verbal communication skills.
  • Ability to work independently as well as collaboratively within a team environment.

Preferred Skills

Experience with frameworks such as Pytorch or TensorFlow, as well as familiarity with MATLAB, FSL/FreeSurfer/SPM, and Natural Language Processing, would be advantageous.

Application Instructions

Interested candidates should submit their CV, three letters of recommendation, and a cover letter outlining their relevant experience and career aspirations.

This position is committed to promoting diversity and inclusion in the workplace, ensuring equal opportunities for all applicants.

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