Postdoctoral Fellow in Machine Learning - Tampa

anunciocaducado

Detalles del trabajo

Area del puesto: Servicios Generales / Varios

Publicación: hace 2 meses
Ubicacion del puesto: Florida - Estados Unidos
Trabajo remoto: No
Descripción

At Moffitt Cancer Center, we come face-to-face with cancer every day, but we also see courage. And it inspires us to be the safest and best place for cancer care – to bring greater hope to every patient we serve. It’s why we’ve been continually named One of the Top Places to Work in the Tampa Bay Area. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Moffitt is the leading cancer hospital in both Florida and the Southeast and has been nationally ranked by U.S. News & World Report since 1999. Because working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join a dedicated, diverse and inclusive team of over 7,000 to be a part of the Courageous future we envision.

Summary

Position Highlights:

  • The successful candidate will work under the supervision of Dr. Natarajan Raghunand (http://lab.moffitt.org/raghunand/). Dr. Raghunand is the Director of Radiology Research, faculty member in the Department of Cancer Physiology (https://moffitt.org/research-science/divisions-and-departments/basic-science/cancer-physiology/), and Scientific Director of the Quantitative Imaging (QI) Shared Service at the Moffitt Cancer Center (https://moffitt.org/research-science/shared-resources/quantitative-imaging-core/).
  • The candidate will have several opportunities to participate in cutting-edge research at the interface of Imaging Science, Radiology, and Oncology. Dr. Raghunand’s group focuses on imaging research aimed at: Synthetic MRI and image prediction to guide radiotherapy, immunotherapy, and chemotherapy of solid tumors. Development of differential diagnostics for cancer by machine learning on multiparameter Magnetic Resonance Imaging (mpMRI) and digitized multiplexed immunohistochemistry (MIHC) images. Joint reconstruction of mpMRI images from co-registered sparse k-space data to develop translatable mpMRI machine learning diagnostics.
  • The candidate will be given opportunities to carry out research leading to potential first-authored peer-reviewed scientific publications in these and other projects.
  • The candidate will be provided mentorship and support for career advancement.
  • The Ideal Candidate:

  • Will have a doctoral degree in the areas of computer science, imaging physics, biomedical imaging, signal processing, or allied fields.
  • Will have published expertise in machine learning or biomedical imaging.
  • Will have good writing skills.
  • Responsibilities:

  • Develop diagnostic tools using machine learning on multiparameter MRI and digitized multiplexed immunohistochemistry images.
  • Collaborate with other members of the group and department.
  • Present research findings at internal group meetings.
  • Present research findings at scientific conferences.
  • Publish research results in peer-reviewed scientific journals.
  • Participate in the writing of research grant applications.
  • Credentials and Qualifications:

    A doctoral degree in a field such as Computer Science, Biomedical Engineering, Electrical Engineering, Medical Physics, or a related scientific discipline.

    How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Natarajan Raghunand (Natarajan.Raghunand@moffitt.org).

    Sobre el Anunciante
    Moffitt Cancer Center | Neuvoo
    Estados Unidos

    Empleos Relacionados